gpt-oss-120b (low), Terminus-2 vs. Mistral Large 3 (Non-reasoning), Terminus-2

gpt-oss-120b (low), Terminus-2 against Mistral Large 3 (Non-reasoning), Terminus-2: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. Methodology.

Side by side

gpt-oss-120b (low), Terminus-2 vs. Mistral Large 3 (Non-reasoning), Terminus-2
Metric	gpt-oss-120b (low), Terminus-2	Mistral Large 3 (Non-reasoning), Terminus-2
Geospatial Agent Index: Text only	31	33, not every task attempted yet
Geospatial Agent Index: Text + vision	No image input	Still to run: GS-QA2, Vision agents
Earth-Bench V2 score	28	31
GeoBenchX score	37	29
GS-QA2 score	29	39
Vision agents score	No image input	No data
GeoAgentBench score (Guided workflows; not in the Agent Index)	60	46
GeoAnalystBench score (Guided workflows; not in the Agent Index)	47	47
Raster and remote sensing score	25	29
Vector and overlay score	34	41
Climate and time series score	29	34
Spatial statistics and interpolation score	8	8
Mapping and cartography score	21	33
Recognising infeasible requests score	60	33
Cost per task	$0.0046	$0.026
Time per task (at 100 output tokens/s)	0.5 min	1.1 min
Tokens per attempt	11k	43k
Turns per attempt	2.9	5.2
Attempts scored	488	487
Input price per 1M tokens	$0.35	$0.50
Output price per 1M tokens	$0.75	$1.50
Context window	128,000	256,000
Image input	No	Yes
Developer	OpenAI	Mistral AI

* Not every task attempted yet: the score may still change. What the asterisk means.

Charts

Not yet ranked. Mistral Large 3 (Non-reasoning), Terminus-2: 220 of 221 GS-QA2 tasks attempted. Grey placeholders mark these entries in the index, cost and output token charts; their height is not a value. Bars appear once every task has an attempt. Results so far are in the side-by-side table.

Geospatial Agent Index

Equal average of Earth-Bench V2, GeoBenchX and GS-QA2, 0 to 100 · Higher is better

Data table: Geospatial Agent Index

Geospatial Agent Index
Model	Developer	Geospatial Agent Index	Status	Evaluations scored	Tasks attempted
gpt-oss-120b (low), Terminus-2	OpenAI	31	Complete	3 of 3	488 of 488 tasks

Cost per task

Average cost per task (USD) · Lower is better

How to read this chart

Not shown: not yet ranked. 1 entries without an attempt on every index task. What is still to run is on the models page.

Data table: Cost per task

Cost per task
Model	Developer	Cost per task	Tasks attempted
gpt-oss-120b (low), Terminus-2	OpenAI	$0.0046	488 of 488 tasks

Output tokens per task

Average output tokens per attempt, reasoning included · Lower is better

How to read this chart

Not shown: not yet ranked. 1 entries without an attempt on every index task. What is still to run is on the models page.

Data table: Output tokens per task

Output tokens per task
Model	Developer	Output tokens per task	Tasks attempted
gpt-oss-120b (low), Terminus-2	OpenAI	2k	488 of 488 tasks

Frequently asked questions

Which scores higher on the Geospatial Agent Index, gpt-oss-120b (low), Terminus-2 or Mistral Large 3 (Non-reasoning), Terminus-2?

Not comparable yet: Mistral Large 3 (Non-reasoning), Terminus-2 is not yet ranked (220 of 221 GS-QA2 tasks attempted). gpt-oss-120b (low), Terminus-2: 488 of 488 tasks attempted. Mistral Large 3 (Non-reasoning), Terminus-2: 487 of 488 tasks attempted. Scores can change as more tasks are attempted.

Which is cheaper per task, gpt-oss-120b (low), Terminus-2 or Mistral Large 3 (Non-reasoning), Terminus-2?

gpt-oss-120b (low), Terminus-2, $0.0046 to $0.026.

Which writes fewer output tokens per task, gpt-oss-120b (low), Terminus-2 or Mistral Large 3 (Non-reasoning), Terminus-2?

gpt-oss-120b (low), Terminus-2, 2k to 4k.

Which has the larger context window, gpt-oss-120b (low), Terminus-2 or Mistral Large 3 (Non-reasoning), Terminus-2?

Mistral Large 3 (Non-reasoning), Terminus-2, 256,000 tokens to 128,000 tokens.

More: gpt-oss-120b (low), Terminus-2 · Mistral Large 3 (Non-reasoning), Terminus-2 · All comparisons