Axis Spatial

Kimi K2.6 (Reasoning), Terminus-2 vs. Claude Haiku 5.5 (low), Claude Code

Kimi K2.6 (Reasoning), Terminus-2 against Claude Haiku 5.5 (low), Claude Code: Geospatial Agent Index, each evaluation, cost, time and tokens, on the same tasks and limits. The harnesses differ, so part of any gap can come from the harness. Methodology.

Side by side

Kimi K2.6 (Reasoning), Terminus-2 vs. Claude Haiku 5.5 (low), Claude Code
MetricKimi K2.6 (Reasoning), Terminus-2Claude Haiku 5.5 (low), Claude Code
Geospatial Agent Index: Text only7070
Geospatial Agent Index: Text + visionNo data72
Earth-Bench V2 score6862
GeoBenchX score6473
GS-QA2 score7775
Vision agents scoreNo data77
GeoAgentBench score (Guided workflows; not in the Agent Index)9092
GeoAnalystBench score (Guided workflows; not in the Agent Index)79100
OGD4All score (standalone; in no index)No data95
GeoNatureAgent score (standalone; in no index)No data100
MultiGlobeQA score (standalone; in no index)No data72
GeoAgentEval score (standalone; in no index)No data92
Remote sensing and raster analysis score7772
GIS analysis score7473
Climate and time series score6964
Spatial statistics score1538
Making maps score7779
Recognising infeasible requests score5773
Cost per task$0.089$0.0053
Time per task (at 100 output tokens/s)3.5 min0.9 min
Tokens per attempt175k181k
Turns per attempt12.85.5
Input price per 1M tokens$0.95$0.10
Output price per 1M tokens$4.00$0.50
Context window262,1441,000,000
Image inputYesYes
DeveloperMoonshot AIAnthropic

Charts

Geospatial Agent Index

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

Geospatial Agent IndexScores 0 to 100: Claude Haiku 5.5 (low), Claude Code: 70; Kimi K2.6 (Reasoning), Terminus-2: 70025507510070Claude Haiku 5.5 (low)70Kimi K2.6 (Reasoning)
Data table: Geospatial Agent Index
Geospatial Agent Index
ModelDeveloperGeospatial Agent Index
Claude Haiku 5.5 (low), Claude CodeAnthropic70
Kimi K2.6 (Reasoning), Terminus-2Moonshot AI70

Cost per task

Average cost per task (USD) · Lower is better

Cost per taskCost per task in US dollars: Claude Haiku 5.5 (low), Claude Code: $0.0053; Kimi K2.6 (Reasoning), Terminus-2: $0.089$0$0.025$0.05$0.075$0.10$0.0053Claude Haiku 5.5 (low)$0.089Kimi K2.6 (Reasoning)
Data table: Cost per task
Cost per task
ModelDeveloperCost per task
Claude Haiku 5.5 (low), Claude CodeAnthropic$0.0053
Kimi K2.6 (Reasoning), Terminus-2Moonshot AI$0.089

Output tokens per task

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

Output tokens per taskOutput tokens per task: Claude Haiku 5.5 (low), Claude Code: 3k; Kimi K2.6 (Reasoning), Terminus-2: 12k05k10k15k20k3kClaude Haiku 5.5 (low)12kKimi K2.6 (Reasoning)
Data table: Output tokens per task
Output tokens per task
ModelDeveloperOutput tokens per task
Claude Haiku 5.5 (low), Claude CodeAnthropic3k
Kimi K2.6 (Reasoning), Terminus-2Moonshot AI12k

Frequently asked questions

Which scores higher on the Geospatial Agent Index, Kimi K2.6 (Reasoning), Terminus-2 or Claude Haiku 5.5 (low), Claude Code?
Claude Haiku 5.5 (low), Claude Code, 70 to 70.
Which is cheaper per task, Kimi K2.6 (Reasoning), Terminus-2 or Claude Haiku 5.5 (low), Claude Code?
Claude Haiku 5.5 (low), Claude Code, $0.0053 to $0.089.
Which writes fewer output tokens per task, Kimi K2.6 (Reasoning), Terminus-2 or Claude Haiku 5.5 (low), Claude Code?
Claude Haiku 5.5 (low), Claude Code, 3k to 12k.
Which has the larger context window, Kimi K2.6 (Reasoning), Terminus-2 or Claude Haiku 5.5 (low), Claude Code?
Claude Haiku 5.5 (low), Claude Code, 1,000,000 tokens to 262,144 tokens.

More: Kimi K2.6 (Reasoning), Terminus-2 · Claude Haiku 5.5 (low), Claude Code · All comparisons