Claude Code – Claude Opus 4.8 (high): geospatial agent results
Claude Code – Claude Opus 4.8 (high) by Anthropic, run under Claude Code: the model's Geospatial Intelligence Index and groups, and this configuration's Geospatial Agent Index, score on each benchmark and each kind of geospatial work, cost, time and token use.
Summary
- Geospatial Intelligence Index
- Not ranked yet: Agents: attempt 1 on 49 of 147 Earth-Bench V2, 56 of 173 GeoBenchX tasks; Coding: attempt 1 on 15 of 50 GeoAgentBench, 6 of 19 GeoAnalystBench tasks; Earth science: quiz not run; Perception: not yet run or confirmed
- Geospatial Intelligence Index, text-only view
- Not ranked yet
- Perception (look and answer)
- No data
- Geospatial Agent Index
- 51* (partial: attempt 1 on 105 of 320 tasks) (partial coverage, not ranked: 49 of 147 Earth-Bench V2 tasks; 56 of 173 GeoBenchX tasks)
- Cost per task
- $0.447
- Time per task
- 2.2 min
- Tokens per attempt
- 197k
- Turns per attempt
- 8.0
- Attempts decided
- 105
- Judged by
- Claude Sonnet 5.5 (130 counted attempts)
Geospatial Intelligence Index
Claude Opus 4.8 at each reasoning level we run, with its four group scores. Each model is shown at its highest reasoning level, as Artificial Analysis does; other levels are under 'Show every reasoning level'. See the Geospatial Intelligence Index.
| Model | Geospatial Intelligence Index | Rank (every reasoning level) | Text-only view | Agents (3/9) | Coding to a written method (2/9) | Earth science (2/9) | Perception (2/9) | Scored in |
|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8 (high) (default view) | Not ranked yet | Not ranked yet | Not ranked yet | 51* | 97* | No data | No data | Claude Code |
Not ranked yet: Claude Opus 4.8 (high): Agents: attempt 1 on 49 of 147 Earth-Bench V2, 56 of 173 GeoBenchX tasks; Coding: attempt 1 on 15 of 50 GeoAgentBench, 6 of 19 GeoAnalystBench tasks; Earth science: quiz not run; Perception: not yet run or confirmed.
Geospatial Agent Index configurations
Every harness and reasoning level of Claude Opus 4.8 we run. See the Geospatial Agent Index.
| Model | Harness | Geospatial Agent Index | Rank | Cost per task | Time per task |
|---|---|---|---|---|---|
| Claude Code – Claude Opus 4.8 (high) (this page) | Claude Code | 51* (partial: attempt 1 on 105 of 320 tasks) | Not ranked yet | $0.447 | 2.2 min |
Score by benchmark
Claude Code – Claude Opus 4.8 (high): score by benchmark
Average pass@1, 0 to 100 · Higher is better
Data table: Claude Code – Claude Opus 4.8 (high): score by benchmark
| Benchmark | Score | Tasks with a decided attempt | Cost per task | Time per task |
|---|---|---|---|---|
| Earth-Bench V2 | 47 | 49 of 147 | $0.614 | 3.1 min |
| GeoBenchX | 55 | 56 of 173 | $0.300 | 1.4 min |
Score by task format and kind of work
Claude Code – Claude Opus 4.8 (high): score by task format
Average pass@1 over the tasks of each task format, 0 to 100 · Higher is better
How to read this chart
What this shows. The same attempts as the index, grouped by task format. Groups with few tasks are less certain. About these breakdowns.
Data table: Claude Code – Claude Opus 4.8 (high): score by task format
| Task format | Score | Tasks with a decided attempt |
|---|---|---|
| Multi-step analysis | 64 | 25 of 82 |
| Single-answer questions | 52 | 54 of 159 |
| Recognising infeasible requests | 38 | 26 of 79 |
Claude Code – Claude Opus 4.8 (high): score by kind of work
Average pass@1 over the tasks of each kind of work, 0 to 100 · Higher is better
How to read this chart
What this shows. The same attempts as the index, grouped by kind of work. Groups with few tasks are less certain. About these breakdowns.
Data table: Claude Code – Claude Opus 4.8 (high): score by kind of work
| Kind of work | Score | Tasks with a decided attempt |
|---|---|---|
| Raster and remote sensing | 50 | 32 of 94 |
| Vector and overlay | 100 | 1 of 6 |
| Networks and routing | No data | 0 of 0 |
| Climate and time series | 50 | 22 of 68 |
| Spatial statistics and interpolation | 17 | 6 of 14 |
| Mapping and cartography | 83 | 18 of 59 |
| Recognising infeasible requests | 38 | 26 of 79 |
Claude Code – Claude Opus 4.8 (high): score by data type
Average pass@1 over the tasks of each data type, 0 to 100 · Higher is better
How to read this chart
What this shows. The same attempts as the index, grouped by data type. Groups with few tasks are less certain. About these breakdowns.
Data table: Claude Code – Claude Opus 4.8 (high): score by data type
| Data type | Score | Tasks with a decided attempt |
|---|---|---|
| Optical multispectral | 45 | 47 of 114 |
| Climate or gridded time series | 0 | 1 of 10 |
| Other gridded data | 75 | 8 of 50 |
| Vector only | 67 | 24 of 77 |
Claude Code – Claude Opus 4.8 (high): score by task length
Average pass@1 over the tasks of each task length, 0 to 100 · Higher is better
How to read this chart
What this shows. The same attempts as the index, grouped by task length. Groups with few tasks are less certain. About these breakdowns.
Data table: Claude Code – Claude Opus 4.8 (high): score by task length
| Task length | Score | Tasks with a decided attempt |
|---|---|---|
| Short tasks | 100 | 11 of 70 |
| Medium tasks | 64 | 25 of 91 |
| Long tasks | 39 | 69 of 159 |
Compared with other models
Geospatial Agent Index
Equal-weight average of the evaluation scores, 0 to 100 · Higher is better
- Planned attempts still to come
How to read this chart
What this metric means. The equal-weight average of the 2 evaluation scores. Each evaluation score is the average pass@1 over that benchmark's tasks, from 0 to 100.
Partial coverage entries. An entry is ranked only when it has a first attempt on every task of every index component. Entries without that are marked partial coverage: they are listed apart with their coverage, for example "36 of 147 Earth-Bench V2 tasks", and are left out of the ranking, the index charts, the Pareto lines and the highlights. An entry becomes ranked as soon as its first attempts are complete.
Coverage hatch. A hatched bar, and an asterisk in tables, marks an entry that does not yet have results for every planned attempt. While attempts await review, the table gives the range the score could still reach.
First attempt only. Scores currently use each entry's first attempt on every task. The full protocol is 3 attempts; averages over 3 will replace these once every entry has them. An entry without a first attempt on every task yet is marked "partial: attempt 1 on n of N tasks".
Not shown: partial coverage or being added. Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – Gemini 3.1 Flash-Lite (low) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – Gemini 3.1 Flash-Lite (minimal) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – Gemini 3.1 Flash-Lite (high) (35 of 147 Earth-Bench V2 tasks; 170 of 173 GeoBenchX tasks); Terminus-2 – Gemini 3.1 Pro (preview) (low) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – Gemini 3.1 Pro (preview) (high) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – Gemini 3.8 Flash (high) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – Gemini 3.8 Flash (low) (36 of 147 Earth-Bench V2 tasks); Terminus-2 – gpt-oss-20b (high) (172 of 173 GeoBenchX tasks); Terminus-2 – Qwen 3.8 27B (xhigh) (36 of 147 Earth-Bench V2 tasks; 0 of 173 GeoBenchX tasks); Claude Code – Claude Haiku 4.5 (thinking 32k) (47 of 147 Earth-Bench V2 tasks; 47 of 173 GeoBenchX tasks); Kimi Code – Kimi K2.6 (always on) (11 of 147 Earth-Bench V2 tasks; 61 of 173 GeoBenchX tasks); Kimi Code – Kimi K2.7 Code (always on) (12 of 147 Earth-Bench V2 tasks; 70 of 173 GeoBenchX tasks); Claude Code – Claude Opus 5 (high) (112 of 147 Earth-Bench V2 tasks; 48 of 173 GeoBenchX tasks); Claude Code – Claude Sonnet 5 (high) (41 of 147 Earth-Bench V2 tasks; 63 of 173 GeoBenchX tasks); Claude Code – Claude Opus 4.8 (high) (49 of 147 Earth-Bench V2 tasks; 56 of 173 GeoBenchX tasks); Claude Code – Claude Opus 4.7 (high) (49 of 147 Earth-Bench V2 tasks; 60 of 173 GeoBenchX tasks).
Data table: Geospatial Agent Index
| Model | Creator | Geospatial Agent Index | Range while attempts are pending | Benchmarks covered | Coverage (attempts) |
|---|---|---|---|---|---|
| Claude Code – Claude Opus 5.5 (xhigh) | Anthropic | 69* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Opus 5.5 (high) | Anthropic | 68* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Opus 5.5 (medium) | Anthropic | 65* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Codex – GPT-6.1 Sol (medium) | OpenAI | 65* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Codex – GPT-6.1 Sol (xhigh) | OpenAI | 65* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Sonnet 5.5 (high) | Anthropic | 65* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Sonnet 5.5 (xhigh) | Anthropic | 64* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Haiku 5.5 (xhigh) | Anthropic | 63* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Codex – GPT-6.1 Sol (high) | OpenAI | 63* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Haiku 5.5 (high) | Anthropic | 60* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Codex – GPT-6 Luna (xhigh) | OpenAI | 60* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Haiku 5.5 (medium) | Anthropic | 58* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – Kimi K3 (always on) | Moonshot AI | 58* | No pending judgements; coverage incomplete; 1 trace review declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Claude Code – Claude Sonnet 5.5 (medium) | Anthropic | 58* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-5.2 (high) | Z.ai | 56* | No pending judgements; coverage incomplete; 1 trace review declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-5.2 (max) | Z.ai | 55* | No pending judgements; coverage incomplete; 1 trace review declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – Kimi K2.7 Code (always on) | Moonshot AI | 55* | No pending judgements; coverage incomplete; 1 trace review declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – DeepSeek V4 Pro (high) | DeepSeek | 54* | No pending judgements; coverage incomplete; 2 trace reviews declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – DeepSeek V4 Flash (max) | DeepSeek | 53* | No pending judgements; coverage incomplete; 1 trace review declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – Kimi K2.6 (always on) | Moonshot AI | 52* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – DeepSeek V4 Flash (high) | DeepSeek | 52* | No pending judgements; coverage incomplete; 1 trace review declined by the judge | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-5.2 (none) | Z.ai | 43* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-5.3-Flash (low) | Z.ai | 40* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – Gemma 4 26B A4B (thinking on) | 39* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts | |
| Terminus-2 – GLM-5.3 (low) | Z.ai | 38* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-5.3 (max, default) | Z.ai | 38* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – gpt-oss-120b (high) | OpenAI | 34* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-4.7-Flash (thinking on) | Z.ai | 29* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – GLM-5.3-Flash (max) | Z.ai | 27* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – gpt-oss-120b (low) | OpenAI | 25* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
| Terminus-2 – Llama 3.3 70B (Non-reasoning) | Meta | 7* | No pending judgements; coverage incomplete | 2 of 2 | 320 of 614 planned attempts |
Geospatial Agent Index vs. cost per task
Higher and further left is better
- Planned attempts still to come
- Most attractive quadrant
- Pareto line
How to read this chart
Partial coverage. Not plotted and not on the Pareto line; listed in the table: Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high), Terminus-2 – Gemini 3.1 Flash-Lite (low), Terminus-2 – Gemini 3.1 Flash-Lite (minimal), Terminus-2 – Gemini 3.1 Flash-Lite (high), Terminus-2 – Gemini 3.1 Pro (preview) (low), Terminus-2 – Gemini 3.1 Pro (preview) (high), Terminus-2 – Gemini 3.8 Flash (high), Terminus-2 – Gemini 3.8 Flash (low), Terminus-2 – gpt-oss-20b (high), Terminus-2 – Qwen 3.8 27B (xhigh), Claude Code – Claude Haiku 4.5 (thinking 32k), Kimi Code – Kimi K2.6 (always on), Kimi Code – Kimi K2.7 Code (always on), Claude Code – Claude Opus 5 (high), Claude Code – Claude Sonnet 5 (high), Claude Code – Claude Opus 4.8 (high), Claude Code – Claude Opus 4.7 (high).
What cost is measuring. What one attempt at a task would cost if paid token by token at the provider's published API prices, averaged over attempts: ordinary input tokens, input tokens served from the provider's cache at the lower cached price, tokens written to the cache where the provider charges for that, and output tokens (thinking included). Cost assumes each harness uses the model's pay-per-token API, priced at public list rates; sandboxes and our own engineering time are not included. Failed attempts count too.
How to read this chart. Each point is one model configuration. Further left means a lower average cost per task (log scale); higher means a higher Geospatial Agent Index. Both axes fit the models shown, so the score axis does not start at zero. The shaded most attractive quadrant is the top-left quarter of the plot, split at the middle of each axis: a reading aid that moves with the axes when you change the models shown, not a fixed bar. The dotted Pareto line joins the shown models that no cheaper shown model beats on score.
Data table: Geospatial Agent Index vs. cost per task
| Model | Geospatial Agent Index | Cost per task (USD) | On the Pareto line |
|---|---|---|---|
| Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high) | 40* (partial: attempt 1 on 209 of 320 tasks) | $0.291 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – DeepSeek V4 Flash (max) | 53* | $0.086 | No |
| Terminus-2 – DeepSeek V4 Flash (high) | 52* | $0.087 | No |
| Terminus-2 – DeepSeek V4 Pro (high) | 54* | $0.428 | No |
| Terminus-2 – Gemini 3.1 Flash-Lite (low) | 37* (partial: attempt 1 on 209 of 320 tasks) | $0.013 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – Gemini 3.1 Flash-Lite (minimal) | 29* (partial: attempt 1 on 209 of 320 tasks) | $0.0057 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – Gemini 3.1 Flash-Lite (high) | 40* (partial: attempt 1 on 205 of 320 tasks) | $0.021 | Not plotted: partial coverage (35 of 147 Earth-Bench V2 tasks; 170 of 173 GeoBenchX tasks) |
| Terminus-2 – Gemini 3.1 Pro (preview) (low) | 44* (partial: attempt 1 on 209 of 320 tasks) | $0.061 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – Gemini 3.1 Pro (preview) (high) | 43* (partial: attempt 1 on 209 of 320 tasks) | $0.275 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – Gemini 3.8 Flash (high) | 34* (partial: attempt 1 on 209 of 320 tasks) | $0.336 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – Gemini 3.8 Flash (low) | 49* (partial: attempt 1 on 209 of 320 tasks) | $0.147 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks) |
| Terminus-2 – Gemma 4 26B A4B (thinking on) | 39* | $0.018 | No |
| Terminus-2 – GLM-4.7-Flash (thinking on) | 29* | $0.035 | No |
| Terminus-2 – GLM-5.2 (high) | 56* | $0.319 | No |
| Terminus-2 – GLM-5.2 (none) | 43* | $0.151 | No |
| Terminus-2 – GLM-5.2 (max) | 55* | $0.443 | No |
| Terminus-2 – GLM-5.3-Flash (low) | 40* | $0.051 | No |
| Terminus-2 – GLM-5.3-Flash (max) | 27* | $0.060 | No |
| Terminus-2 – GLM-5.3 (low) | 38* | $0.407 | No |
| Terminus-2 – GLM-5.3 (max, default) | 38* | $0.525 | No |
| Terminus-2 – gpt-oss-120b (low) | 25* | $0.0061 | Yes |
| Terminus-2 – gpt-oss-120b (high) | 34* | $0.033 | No |
| Terminus-2 – gpt-oss-20b (high) | 28* | $0.016 | Not plotted: partial coverage (172 of 173 GeoBenchX tasks) |
| Terminus-2 – Kimi K2.6 (always on) | 52* | $0.109 | No |
| Terminus-2 – Kimi K2.7 Code (always on) | 55* | $0.183 | No |
| Terminus-2 – Kimi K3 (always on) | 58* | $0.336 | No |
| Terminus-2 – Llama 3.3 70B (Non-reasoning) | 7* | $0.024 | No |
| Terminus-2 – Qwen 3.8 27B (xhigh) | 28* (partial: attempt 1 on 36 of 320 tasks) | $0.051 | Not plotted: partial coverage (36 of 147 Earth-Bench V2 tasks; 0 of 173 GeoBenchX tasks) |
| Claude Code – Claude Haiku 4.5 (thinking 32k) | 36* (partial: attempt 1 on 94 of 320 tasks) | $0.155 | Not plotted: partial coverage (47 of 147 Earth-Bench V2 tasks; 47 of 173 GeoBenchX tasks) |
| Kimi Code – Kimi K2.6 (always on) | 56* (partial: attempt 1 on 72 of 320 tasks) | $0.219 | Not plotted: partial coverage (11 of 147 Earth-Bench V2 tasks; 61 of 173 GeoBenchX tasks) |
| Kimi Code – Kimi K2.7 Code (always on) | 54* (partial: attempt 1 on 82 of 320 tasks) | $0.227 | Not plotted: partial coverage (12 of 147 Earth-Bench V2 tasks; 70 of 173 GeoBenchX tasks) |
| Claude Code – Claude Opus 5.5 (medium) | 65* | $0.149 | Yes |
| Claude Code – Claude Opus 5.5 (high) | 68* | $0.186 | Yes |
| Claude Code – Claude Sonnet 5.5 (medium) | 58* | $0.058 | No |
| Claude Code – Claude Sonnet 5.5 (high) | 65* | $0.072 | No |
| Claude Code – Claude Haiku 5.5 (medium) | 58* | $0.0080 | Yes |
| Claude Code – Claude Haiku 5.5 (high) | 60* | $0.011 | Yes |
| Claude Code – Claude Opus 5.5 (xhigh) | 69* | $0.411 | Yes |
| Claude Code – Claude Sonnet 5.5 (xhigh) | 64* | $0.172 | No |
| Claude Code – Claude Haiku 5.5 (xhigh) | 63* | $0.026 | Yes |
| Claude Code – Claude Opus 5 (high) | 63* (partial: attempt 1 on 160 of 320 tasks) | $0.522 | Not plotted: partial coverage (112 of 147 Earth-Bench V2 tasks; 48 of 173 GeoBenchX tasks) |
| Claude Code – Claude Sonnet 5 (high) | 56* (partial: attempt 1 on 104 of 320 tasks) | $0.331 | Not plotted: partial coverage (41 of 147 Earth-Bench V2 tasks; 63 of 173 GeoBenchX tasks) |
| Claude Code – Claude Opus 4.8 (high) | 51* (partial: attempt 1 on 105 of 320 tasks) | $0.447 | Not plotted: partial coverage (49 of 147 Earth-Bench V2 tasks; 56 of 173 GeoBenchX tasks) |
| Claude Code – Claude Opus 4.7 (high) | 53* (partial: attempt 1 on 109 of 320 tasks) | $0.521 | Not plotted: partial coverage (49 of 147 Earth-Bench V2 tasks; 60 of 173 GeoBenchX tasks) |
| Codex – GPT-6.1 Sol (medium) | 65* | $0.061 | Yes |
| Codex – GPT-6.1 Sol (high) | 63* | $0.081 | No |
| Codex – GPT-6.1 Sol (xhigh) | 65* | $0.126 | No |
| Codex – GPT-6 Luna (xhigh) | 60* | $0.010 | Yes |
Head-to-head comparisons
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Claude Sonnet 4.6 (adaptive, effort high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – DeepSeek V4 Flash (max)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – DeepSeek V4 Flash (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – DeepSeek V4 Pro (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.1 Flash-Lite (low)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.1 Flash-Lite (minimal)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.1 Flash-Lite (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.1 Pro (preview) (low)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.1 Pro (preview) (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.8 Flash (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemini 3.8 Flash (low)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Gemma 4 26B A4B (thinking on)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-4.7-Flash (thinking on)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.2 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.2 (none)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.2 (max)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.3-Flash (low)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.3-Flash (max)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.3 (low)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – GLM-5.3 (max, default)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – gpt-oss-120b (low)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – gpt-oss-120b (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – gpt-oss-20b (high)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Kimi K2.6 (always on)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Kimi K2.7 Code (always on)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Kimi K3 (always on)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Llama 3.3 70B (Non-reasoning)
- Claude Code – Claude Opus 4.8 (high) vs. Terminus-2 – Qwen 3.8 27B (xhigh)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Haiku 4.5 (thinking 32k)
- Claude Code – Claude Opus 4.8 (high) vs. Kimi Code – Kimi K2.6 (always on)
- Claude Code – Claude Opus 4.8 (high) vs. Kimi Code – Kimi K2.7 Code (always on)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Opus 5.5 (medium)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Opus 5.5 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Sonnet 5.5 (medium)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Sonnet 5.5 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Haiku 5.5 (medium)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Haiku 5.5 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Opus 5.5 (xhigh)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Sonnet 5.5 (xhigh)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Haiku 5.5 (xhigh)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Opus 5 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Sonnet 5 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Claude Code – Claude Opus 4.7 (high)
- Claude Code – Claude Opus 4.8 (high) vs. Codex – GPT-6.1 Sol (medium)
- Claude Code – Claude Opus 4.8 (high) vs. Codex – GPT-6.1 Sol (high)
- Claude Code – Claude Opus 4.8 (high) vs. Codex – GPT-6.1 Sol (xhigh)
- Claude Code – Claude Opus 4.8 (high) vs. Codex – GPT-6 Luna (xhigh)
Specification and settings
- Developer
- Anthropic
- Context window
- No data
- Image input
- No data
- Reasoning setting
- high
- Temperature
- Provider default
- Maximum output tokens
- No data
- Input price per 1M tokens
- $5.00
- Cached input price per 1M tokens
- $0.500
- Output price per 1M tokens
- $25.00
Why this model was chosen: model selection.
