- input
- $1.25
- cached
- $0.20
- output
- $2.50
- Context
- 2Mtokens
- Released
- 8mo ago
Cost/1M tokens
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Arena leaderboards and other sourced evaluations appear below; missing scores are not zero.
How it ranks
Against its predecessor, similarly priced models and the models ranked around it.
DeepSWE 1.1
Best pass@1 per model · Higher is better
Not evaluated in DeepSWE 1.1
Arena Text
Best Arena rating per model · Higher is better
Not ranked on Arena Text yet
Arena WebDev
Best Arena rating per model · Higher is better
Not ranked on Arena WebDev yet
Arena Vision
Best Arena rating per model · Higher is better
Not ranked on Arena Vision yet
Arena Search
Best Arena rating per model · Higher is better
Not ranked on Arena Search yet
Arena Document
Best Arena rating per model · Higher is better
Not ranked on Arena Document yet
Agent Arena
Best IPS score per model · Higher is better
Not ranked on Agent Arena yet
ARC-AGI-2
Best score per model · Higher is better
#29 of 85
- 84.6%
Gemini 3.7 FlashSimilar price - 67.1%
Grok 4.6Nearby rank - 65.8%
GLM 5.3 FlashNearby rank - 65.1%Grok 4.20
- 64.6%
Claude Opus 4.6Nearby rank - 61.4%
DeepSeek V4 Flash 0731Nearby rank - 36.5%
InklingSimilar price - 18.9%
GPT-5.4 MiniSimilar price - 4.9%GLM 5Similar price
Ahead of 3 of 4 similarly priced models
Terminal Bench
Best score per model · Higher is better
#16 of 49
- 64.3%Gemini 3 Flash PreviewSimilar price
- 60.4%GPT-5.1-Codex-MaxNearby rank
- 57.8%GPT-5.1-CodexNearby rank
- 57.3%Grok 4.20
- 53.4%Claude Sonnet 4.6Nearby rank
- 52.4%GLM 5Similar price
- 35.7%
Kimi K2 ThinkingSimilar price - 35.5%Claude Haiku 4.5Similar price
Ahead of 3 of 4 similarly priced models
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
All published scores
- ARC-AGI-2#29 of 8565.1%
- default65.1%
- Terminal Bench#16 of 4957.3%
- default57.3%Grok CLI
- default57.3%grok-cli
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.