Noometry

Model comparison

Gemini 3.5 Flash vs Mistral Large

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 31.9 on the Noometry Index.

Last verified . 28 shared benchmarks.

Gemini 3.5 Flash Google

54.2

Rank #32 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 28 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 8 categories and Mistral Large in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 15.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.5 Flash and 8.5% for Mistral Large.
  • Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
  • Gemini 3.5 Flash accepts more context: 1.05M tokens versus 131K.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Gemini 3.5 FlashMistral Large
ProviderGoogleMistral AI
Noometry Index54.231.9
Released2026-05-192024-02-26
WeightsProprietaryOpen
Context window1.05M131K
Max output66K16K
Input $ / M tokens$1.50$2
Output $ / M tokens$9$6
Results tracked5451

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Category by category

Coding Gemini 3.5 Flash leads

Gemini 3.5 Flash: 49.4 (#49), Mistral Large: 34.3 (#240)

BenchmarkGemini 3.5 FlashMistral Large
SciCode53.1%36.2%
LMArena Coding14921277
ALE-Bench911.02264.7
SWE-bench Verified79.3%—
DeepSWE37.4%—
LMArena WebDev1499—
WeirdML62.6%—
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Mistral Large leads

Gemini 3.5 Flash: 24.7 (#114), Mistral Large: 28.6 (#89)

BenchmarkGemini 3.5 FlashMistral Large
APEX-Agents27.5%—
Berkeley Function Calling Leaderboard—38.4%
GBAEval6.7%—
GDP.pdf14%—
Vending-Bench 25,396—

Reasoning Gemini 3.5 Flash leads

Gemini 3.5 Flash: 62.8 (#18), Mistral Large: 15.8 (#310)

BenchmarkGemini 3.5 FlashMistral Large
SimpleBench76.7%22.5%
CritPt13.1%0%
LMArena Hard Prompts14881257
DTBench94.7%65.1%
LMCA47.1%16.7%
Epoch Capabilities Index154.46128.52
ForecastBench5957.1
ARC-AGI-272.1%—
NYT Connections (extended)92.6%—
ARC-AGI-192.5%—
Chess Puzzles50%—
EnigmaEval25.4%—
EBR-Bench4.8%—
LiveBench Reasoning—43.5%
Mystery Game Puzzles32%—
LiveBench Data Analysis—50.1%
Surface Evolver Bench58.1%—
LiveBench—48.4%

Math Gemini 3.5 Flash leads

Gemini 3.5 Flash: 60.7 (#36), Mistral Large: 18.2 (#291)

BenchmarkGemini 3.5 FlashMistral Large
OTIS Mock AIME 2024-202595.6%8.5%
LMArena Math15041262
FrontierMath (Feb 2025 set)39%0.3%
FrontierMath (Tiers 1-3)62.8%—
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions76.3%—
ProofBench31%—
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath Tier 4 (v1)14.6%—

Knowledge Gemini 3.5 Flash leads

Gemini 3.5 Flash: 66.3 (#11), Mistral Large: 30.1 (#230)

BenchmarkGemini 3.5 FlashMistral Large
GPQA Diamond92.8%51.3%
LMArena Expert14951232
SimpleQA Verified66.2%—
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%
MMLU—80%

Multimodal Not comparable

Gemini 3.5 Flash: 45.7 (#15), Mistral Large: —

BenchmarkGemini 3.5 FlashMistral Large
LMArena Vision1310—
Blueprint-Bench 233.6%—
LMArena Document1463—

Multilingual Gemini 3.5 Flash leads

Gemini 3.5 Flash: 57.0 (#13), Mistral Large: 40.0 (#219)

BenchmarkGemini 3.5 FlashMistral Large
LMArena Non-English14761237
LMArena Chinese15261240
LMArena French14901325
LMArena German14921254
LMArena Japanese14861188
LMArena Korean14511202
LMArena Russian14931257
LMArena Spanish14801268

Instruction Following Gemini 3.5 Flash leads

Gemini 3.5 Flash: 77.0 (#30), Mistral Large: 67.9 (#191)

BenchmarkGemini 3.5 FlashMistral Large
LMArena Instruction Following14671249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Gemini 3.5 Flash leads

Gemini 3.5 Flash: 45.4 (#38), Mistral Large: 38.3 (#199)

BenchmarkGemini 3.5 FlashMistral Large
LMArena Longer Query14821261

Writing & Preference Gemini 3.5 Flash leads

Gemini 3.5 Flash: 65.5 (#47), Mistral Large: 40.7 (#242)

BenchmarkGemini 3.5 FlashMistral Large
LMArena Text14821266
LMArena Creative Writing14701243
LMArena Multi-Turn14811260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
WildBench—80.1%
EQ-Bench 41087—
LiveBench Language—39.4%

Frequently asked questions

Is Gemini 3.5 Flash better than Mistral Large?

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 31.9 on the Noometry Index.

Which is cheaper, Gemini 3.5 Flash or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

Is Gemini 3.5 Flash or Mistral Large better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 3.5 Flash and Mistral Large share?

28 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Mistral Large has 51.

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