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Gemini

Google

Strongest in Agentic coding (#80 of 157, on 1 of its 4 boards), weakest in Reasoning (#130 of 178). Above par in 0 of 4 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5.1 and ahead of Mimo V2.5 Pro and Muse Spark.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Coding48.7#84/164
Agentic coding48.4#80/157
Reasoning44.7#130/178
Reasoning41.4#106/140

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Gemini, left for the other.

Command Awon 3 · lost 0
Mercury 2.5won 3 · lost 0
Laguna XS.2won 3 · lost 0
Mistral Medium 3.5won 3 · lost 0
Laguna M.1won 3 · lost 0
GPT-4 Turbowon 3 · lost 0
Claude 3.5 Haikuwon 3 · lost 0
Grok 4.3won 4 · lost 0
GPT-4o Miniwon 4 · lost 0
Grok Build 0.1won 4 · lost 0
Nemotron 3 Ultra 550B A55Bwon 4 · lost 0
Mistral Large 3won 4 · lost 0
Qwen3.6 27Bwon 4 · lost 0
GPT-4owon 4 · lost 0
MiniMax M3won 4 · lost 0
GPT-5.4 Miniwon 4 · lost 0
Llama 4 Maverick Instructwon 4 · lost 0
Gemini 2.0 Flash Thinkingwon 4 · lost 0
Gemini 3.5 Flash Litewon 4 · lost 0
Gemini 2.0 Flashwon 4 · lost 0
O1 Miniwon 4 · lost 0
GPT OSS 120Bwon 3 · lost 1
GPT-4.1 Nanowon 3 · lost 1
Qwen3.6 Pluswon 3 · lost 1
DeepSeek V3won 3 · lost 1
GPT-4.1 Miniwon 3 · lost 1
Gemini 3.1 Flash Litewon 2 · lost 1
Ling 3.0 Flashwon 2 · lost 1
GLM-4.6won 2 · lost 1
Qwen3 Maxwon 2 · lost 1
MiniMax M2.7won 2 · lost 1
NVIDIA Nemotron 3 Nano 4Bwon 2 · lost 1
Gemma 4 E4Bwon 2 · lost 1
G9v3 3Bwon 2 · lost 1
Qwen 3.5 Pluswon 2 · lost 1
K2 Horizon 7Bwon 2 · lost 1
Qwen3.5 Flashwon 2 · lost 1
Mimo V2.5won 2 · lost 1
Granite 4.2 3Bwon 2 · lost 1
Muse Sparkwon 2 · lost 1
Mimo V2.5 Prowon 2 · lost 1
Grok 4.1 Fastwon 2 · lost 2
Grok 4 Fastwon 2 · lost 2
Grok 4.20won 2 · lost 2
Nemotron 3 Ultrawon 2 · lost 2
Claude Haiku 4.5won 2 · lost 2
GPT-5.4 Nanowon 2 · lost 2
GPT-5 Miniwon 2 · lost 2
Kimi K2.5won 2 · lost 2
Inklingwon 2 · lost 2
Qwen3.7 Maxwon 2 · lost 2
Gemini 3 Flashwon 2 · lost 2
Kimi K2 Thinkingwon 2 · lost 2
Gemini 3.1 Prowon 2 · lost 2
Claude Opus 4.5won 2 · lost 2
Claude Sonnet 4.5won 2 · lost 2
MiniMax M2.5won 2 · lost 2
GPT-5.1won 2 · lost 2
GLM-5won 2 · lost 2
Inkling Smallwon 2 · lost 2
Gemini 3 Prowon 2 · lost 2
Claude 3.5 Sonnetwon 2 · lost 2
GLM-4.7won 2 · lost 2
GPT-4.5won 2 · lost 2
GPT-4.1won 2 · lost 2
GLM-5.3 Flashwon 2 · lost 2
Qwen3.5 4Bwon 1 · lost 2
Gemma 4 12Bwon 1 · lost 2
Granite 4.2 30Bwon 1 · lost 2
Qwen3 235B A22B Instructwon 1 · lost 2
Kimi K2.7 Codewon 1 · lost 3
DeepSeek V4 Flash Visionwon 1 · lost 3
Ox Alphawon 1 · lost 3
Kimi K2.6won 1 · lost 3
Gemini 2.5 Prowon 1 · lost 3
GPT-5.2 Codexwon 1 · lost 3
Grok 3won 1 · lost 3
Kimi K2won 1 · lost 3
O3 Miniwon 1 · lost 3
Granite 4.2 8Bwon 0 · lost 3
K2 Horizon 32Bwon 0 · lost 3
Qwen3.5 9Bwon 0 · lost 3
G9v3 39A5Bwon 0 · lost 3
K2 Horizon 3.7Bwon 0 · lost 3
Nemotron 3 Superwon 0 · lost 3
Qwen3.6 35B A3Bwon 0 · lost 3
Gemma 4 31Bwon 0 · lost 3
DeepSeek V4won 0 · lost 3
K2 Horizon MoVA 36B A4Bwon 0 · lost 3
Muse Glimmer-30Bwon 0 · lost 3
K2 Horizon 375B A23Bwon 0 · lost 3
Mimo V2.6 Flashwon 0 · lost 3
Hy4won 0 · lost 3
Mimo V2.6 Prowon 0 · lost 3
DeepSeek V3.2won 0 · lost 4
GLM-5.1won 0 · lost 4
Qwen3.6 Maxwon 0 · lost 4
Qwen3.8 Flash Nextwon 0 · lost 4
GPT-5.2won 0 · lost 4
Grok 4.5won 0 · lost 4
MiniMax M2.1won 0 · lost 4
Gemini 3.5 Flashwon 0 · lost 4
Gemini 3.6 Flashwon 0 · lost 4
Claude Opus 4.6won 0 · lost 4
Claude Sonnet 4.6won 0 · lost 4
Grok 4won 0 · lost 4
Gemini 3.8 Flashwon 0 · lost 4
GPT-5won 0 · lost 4
Claude Sonnet 4won 0 · lost 4
Gemini 2.5 Flashwon 0 · lost 4
Grok 3 Miniwon 0 · lost 4
Qwen3.8 27Bwon 0 · lost 4
DeepSeek V4 Flashwon 0 · lost 4
GPT-5.4won 0 · lost 4
Qwen3.8 Maxwon 0 · lost 4
O1won 0 · lost 4
Gemini 3.7 Flashwon 0 · lost 4
Claude 3.7 Sonnetwon 0 · lost 4
Claude Opus 4won 0 · lost 4
Union Alphawon 0 · lost 4
GLM-5.2won 0 · lost 4
Muse Spark 1.1won 0 · lost 4
GPT-6 Lunawon 0 · lost 4
Muse Spark 1.2won 0 · lost 4
Grok 4.7won 0 · lost 4
Claude Sonnet 5won 0 · lost 4
Claude Opus 4.7won 0 · lost 4
Grok 4.6won 0 · lost 4
GPT-5.6 Lunawon 0 · lost 4
GPT-5.6 Terrawon 0 · lost 4
Claude Opus 4.8won 0 · lost 4
GPT-5.5won 0 · lost 4
DeepSeek R1won 0 · lost 4
DeepSeek V4 Prowon 0 · lost 4
Kimi K3won 0 · lost 4
O3 Prowon 0 · lost 4
O4 Miniwon 0 · lost 4
O3won 0 · lost 4
GPT-6 Solwon 0 · lost 4
GLM-5.3won 0 · lost 4
Muse Spark 1.3won 0 · lost 4
GPT-5.6 Solwon 0 · lost 4
DeepSeek V4.1 Flashwon 0 · lost 4
GPT-6 Astrawon 0 · lost 4
Claude Opus 5won 0 · lost 4
Claude Fable 5won 0 · lost 4
Claude Fable 5.1won 0 · lost 4
Claude Opus 5.5won 0 · lost 4

§ 3 · Sources

Where the numbers come from

2 publications, 2 figures. Every one links to the page it was read from.

Aider polyglot ↗1 measureread 2026-09-27
Aider polyglot 38.2%
SimpleBench ↗1 measureread 2026-09-27
SimpleBench 31.1%

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