No longer available
The publisher shut this model down on July 23, 2026. It can no longer be used from its own API. Recommended replacement: gpt-5.6-sol. Publisher notice
- input
- $1.25
- cached
- $0.125
- output
- $10.00
- Context
- 400Ktokens
- Released
- 12mo 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
Agent Arena
Best IPS score per model · Higher is better
Not ranked on Agent Arena yet
Terminal Bench
Best score per model · Higher is better
#14 of 49
- 80.2%
Gemini 3.1 Pro PreviewSimilar price - 63.1%
Claude Opus 4.5Nearby rank - 61.6%
GPT-5.1-Codex-MiniNearby rank - 60.4%GPT-5.1-Codex-Max
- 57.8%GPT-5.1-CodexNearby rank
- 57.3%
Grok 4.20Nearby rank - 53.4%Claude Sonnet 4.6Similar price
- 35.5%Claude Haiku 4.5Similar price
- 32.6%Gemini 2.5 ProSimilar 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
- Terminal Bench#14 of 4960.4%
- default60.4%Codex 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.