- input
- $0.12
- output
- $0.24
- Context
- 41Ktokens
- Released
- 1y ago
- Size
- 14Bparameters
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 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
GPQA diamond
Best score per model · Higher is better
#119 of 161
- 69.4%
GPT-5 NanoSimilar price - 65.3%
QwQ 32BNearby rank - 64.1%
DeepSeek-R1-Distill-Qwen-32BNearby rank - 63.8%
Qwen3 14B - 61.7%Qwen3 30B A3BNearby rank
- 60.8%gpt-oss-20bNearby rank
- 60.5%
GLM 4.7 FlashSimilar price - 51.8%
Llama 4 ScoutSimilar price - 47.7%
Gemma 3 27BSimilar price
Ahead of 3 of 4 similarly priced models
OTIS Mock AIME 2024-2025
Best score per model · Higher is better
#106 of 158
- 81.1%GPT-5 NanoSimilar price
- 66.7%
Claude Haiku 4.5Nearby rank - 66.4%R1 0528Nearby rank
- 66.4%Qwen3 14B
- 65.3%gpt-oss-20bNearby rank
- 64.4%Claude Opus 4Nearby rank
- 58.3%GLM 4.7 FlashSimilar price
- 22.5%Gemma 3 27BSimilar price
- 7.8%Llama 4 ScoutSimilar 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
- GPQA diamond#119 of 16163.8%
- none53.4%
- default63.8%
Source:Epoch AI evaluation - OTIS Mock AIME 2024-2025#106 of 15866.4%
- none25.8%
- default66.4%
Source:Epoch AI evaluation
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.