The LLM benchmark aggregator.

Gemini 2.0 Flash Thinking

Google

Strongest in Professional (#78 of 168), weakest in Reasoning (#131 of 178). Above par in 2 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5.1 and ahead of Claude 3.5 Haiku and Qwen3 Max.

§ 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.

Professional50.2−11.4#78/1681/1

Finance50.5−12.4#86/1511/1

Coding44.4−24.7#118/1641/5

Agentic coding43.2−25.5#118/1571/4

Reasoning44.6−22.3#131/1781/4

Reasoning41.3−27.8#109/1401/3

§ 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 2.0 Flash Thinking, left for the other.

Grok 2won 4 · lost 0

Gemini 1.5 Prowon 4 · lost 0

Nemotron 3.5 Lightningwon 4 · lost 0

Grok Build 0.1won 4 · lost 0

Nemotron 3 Ultra 550B A55Bwon 4 · lost 0

Command Awon 5 · lost 0

Mercury 2.5won 5 · lost 0

Laguna XS.2won 5 · lost 0

Mistral Medium 3.5won 5 · lost 0

Laguna M.1won 5 · lost 0

Grok 4.3won 6 · lost 0

GPT-4o Miniwon 6 · lost 0

GPT-4owon 6 · lost 0

Llama 4 Maverick Instructwon 6 · lost 0

Mistral Large 3won 5 · lost 1

GPT-4.1 Nanowon 5 · lost 1

Gemini 3.1 Flash Litewon 4 · lost 1

Ling 3.0 Flashwon 4 · lost 1

MiniMax M2.7won 4 · lost 1

Llama 4 Scout Instructwon 3 · lost 1

Ling 3.0 Flash Finwon 3 · lost 1

GPT-4 Turbowon 3 · lost 1

Grok 4.1 Fastwon 4 · lost 2

Qwen3.6 27Bwon 4 · lost 2

Grok 4.20won 4 · lost 2

Claude Haiku 4.5won 4 · lost 2

GPT OSS 120Bwon 4 · lost 2

GPT-5.4 Miniwon 4 · lost 2

Gemini 2.0 Flashwon 4 · lost 2

DeepSeek V3won 4 · lost 2

GLM-4.6won 3 · lost 2

Qwen3 Maxwon 3 · lost 2

Claude 3.5 Haikuwon 3 · lost 2

GPT-5 Nanowon 2 · lost 2

DeepSeek V3.1won 2 · lost 2

Qwen3.7 Pluswon 2 · lost 2

Gemini 2.0 Prowon 2 · lost 2

GPT-4.5won 2 · lost 2

Grok 4 Fastwon 3 · lost 3

Nemotron 3 Ultrawon 3 · lost 3

GPT-5.4 Nanowon 3 · lost 3

MiniMax M3won 3 · lost 3

Kimi K2.5won 3 · lost 3

Qwen3.6 Pluswon 3 · lost 3

Gemini 3.5 Flash Litewon 3 · lost 3

Claude 3.5 Sonnetwon 3 · lost 3

Kimi K2won 3 · lost 3

O3 Miniwon 3 · lost 3

Mimo V2.5won 2 · lost 3

O1 Miniwon 2 · lost 3

GPT-5 Miniwon 2 · lost 4

MiniMax M2.5won 2 · lost 4

GLM-4.7won 2 · lost 4

DeepSeek V3.2won 2 · lost 4

MiniMax M2.1won 2 · lost 4

GPT-4.1won 2 · lost 4

Claude Sonnet 4won 2 · lost 4

DeepSeek R1won 2 · lost 4

Claude Opus 4.1won 1 · lost 3

Ox Alphawon 1 · lost 3

Qwen3.5 Flashwon 1 · lost 4

Mimo V2.5 Prowon 1 · lost 4

Gemma 4 31Bwon 1 · lost 4

DeepSeek V4won 1 · lost 4

Qwen3 235B A22B Instructwon 1 · lost 4

Inklingwon 1 · lost 5

Qwen3.7 Maxwon 1 · lost 5

Gemini 3 Flashwon 1 · lost 5

GPT-4.1 Miniwon 1 · lost 5

GLM-5.1won 1 · lost 5

Qwen3.6 Maxwon 1 · lost 5

Grok 4won 1 · lost 5

GLM-5.3 Flashwon 1 · lost 5

GPT-6 Lunawon 1 · lost 5

Kimi K2.7 Codewon 0 · lost 4

DeepSeek V4 Flash Visionwon 0 · lost 4

Geminiwon 0 · lost 4

Qwen3.8 Flash Nextwon 0 · lost 4

GPT-5.2 Codexwon 0 · lost 4

Union Alphawon 0 · lost 4

O3 Prowon 0 · lost 4

Qwen 3.5 Pluswon 0 · lost 5

Muse Sparkwon 0 · lost 5

Mimo V2.6 Flashwon 0 · lost 5

Hy4won 0 · lost 5

Mimo V2.6 Prowon 0 · lost 5

Kimi K2 Thinkingwon 0 · lost 6

Gemini 3.1 Prowon 0 · lost 6

Claude Opus 4.5won 0 · lost 6

Claude Sonnet 4.5won 0 · lost 6

GPT-5.1won 0 · lost 6

GLM-5won 0 · lost 6

Inkling Smallwon 0 · lost 6

Gemini 3 Prowon 0 · lost 6

Kimi K2.6won 0 · lost 6

Gemini 2.5 Prowon 0 · lost 6

GPT-5.2won 0 · lost 6

Grok 4.5won 0 · lost 6

Gemini 3.5 Flashwon 0 · lost 6

Gemini 3.6 Flashwon 0 · lost 6

Claude Opus 4.6won 0 · lost 6

Claude Sonnet 4.6won 0 · lost 6

Gemini 3.8 Flashwon 0 · lost 6

Grok 3won 0 · lost 6

GPT-5won 0 · lost 6

Gemini 2.5 Flashwon 0 · lost 6

Grok 3 Miniwon 0 · lost 6

Qwen3.8 27Bwon 0 · lost 6

DeepSeek V4 Flashwon 0 · lost 6

GPT-5.4won 0 · lost 6

Qwen3.8 Maxwon 0 · lost 6

O1won 0 · lost 6

Gemini 3.7 Flashwon 0 · lost 6

Claude 3.7 Sonnetwon 0 · lost 6

Claude Opus 4won 0 · lost 6

GLM-5.2won 0 · lost 6

Muse Spark 1.1won 0 · lost 6

Muse Spark 1.2won 0 · lost 6

Grok 4.7won 0 · lost 6

Claude Sonnet 5won 0 · lost 6

Claude Opus 4.7won 0 · lost 6

Grok 4.6won 0 · lost 6

GPT-5.6 Lunawon 0 · lost 6

GPT-5.6 Terrawon 0 · lost 6

Claude Opus 4.8won 0 · lost 6

GPT-5.5won 0 · lost 6

DeepSeek V4 Prowon 0 · lost 6

Kimi K3won 0 · lost 6

O4 Miniwon 0 · lost 6

O3won 0 · lost 6

GPT-6 Solwon 0 · lost 6

GLM-5.3won 0 · lost 6

Muse Spark 1.3won 0 · lost 6

GPT-5.6 Solwon 0 · lost 6

DeepSeek V4.1 Flashwon 0 · lost 6

GPT-6 Astrawon 0 · lost 6

Claude Opus 5won 0 · lost 6

Claude Fable 5won 0 · lost 6

Claude Fable 5.1won 0 · lost 6

Claude Opus 5.5won 0 · lost 6

§ 3 · Sources

Where the numbers come from

3 publications, 3 figures. Every one links to the page it was read from.

Aider polyglot ↗1 measureread 2026-09-27

Aider polyglot 18.2%

SimpleBench ↗1 measureread 2026-09-27

SimpleBench 30.7%

Vals.ai ↗1 measureread 2026-09-27

Vals · TaxEval 69.79%

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