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Gemini 3.6 Flash vs Mistral Large 4

Updated October 21, 2026. 67 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.6 Flash Replace Mistral Large 4
Gemini 3.6 FlashGoogle
Coding
48.3
Overall
34.0
Output $/M
$3.75
52
Mistral Large 4Mistral AI
Coding
55.3
Overall
38.4
Output $/M
$4.18
15
vs boards won of 67 shared

Decision reading

Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash.

Pick Gemini 3.6 Flash when output tokens cost 1.1x less, or when what matters is Code migration (Vals AI) or LMArena Text: coding, where it leads.

Model AGemini 3.6 FlashGoogle48.3/1001 independent benchmark$1.49 per solved taskModel BMistral Large 4Mistral AI55.3/1002 independent benchmarksNo cost per solved task
Shared results
67
Gemini 3.6 Flash only
40
Mistral Large 4 only
14
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.6 Flash 48.3 from 1 benchmark, Mistral Large 4 55.3 from 2 benchmarks.
Widest category
Knowledge, 14.1 points apart on average over 6 shared benchmarks.
Widest single gap
SimpleQA Verified: Gemini 3.6 Flash 66.2% against Mistral Large 4 20.0%, 46.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Mistral Large 4 $4.18 per million output tokens, 1.1x apart.
Context window
Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.6 FlashBarsMistral Large 4Ties
Coding47
Intelligence11
Agentic work23
Reasoning80
Math42
Knowledge60
Web design70
General202
All shared boards5215
CodingLike-for-likeFour of these boards feed the Vibe Coding Index47
Coding benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDev15381543Mistral Large 4
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)64.0%78.4%Mistral Large 4
Code migration (Vals AI)30.9%30.6%Gemini 3.6 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
IOI (Vals AI)35.1%45.3%Mistral Large 4
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%54.2%Mistral Large 4
FrontierCode34.4%39.4%Mistral Large 4
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.51213.2Mistral Large 4
LMArena Text: coding14911478Gemini 3.6 Flash
LMArena Text: software and IT14921467Gemini 3.6 Flash
LMArena WebDev: React15281559Mistral Large 4
LMArena WebDev: HTML15471487Gemini 3.6 Flash
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
AA Intelligence Index34.038.4Mistral Large 4
Epoch Capabilities Index154.5150.0Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
Agentic work benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1199Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1208Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1148Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1146Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1017Not measuredOnly Gemini 3.6 Flash measured
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)56.3%54.7%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%30.4%Mistral Large 4
Legal Research Bench (Vals AI)25.0%31.7%Mistral Large 4
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)65.4%56.2%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%67.0%Mistral Large 4
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%Not measuredOnly Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)40.8%35.0%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%88.1%Gemini 3.6 Flash
ARC-AGI91.2%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI-260.4%Not measuredOnly Gemini 3.6 Flash measured
Chess puzzles42.0%33.0%Gemini 3.6 Flash
Mystery game puzzles30.0%17.0%Gemini 3.6 Flash
LMArena Text: hard prompts14861444Gemini 3.6 Flash
LMArena Text: expert14901444Gemini 3.6 Flash
LMArena Text: hard prompts in English14841442Gemini 3.6 Flash
LMArena Vision: diagrams13141288Gemini 3.6 Flash
LMArena Vision: homework1314Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
OTIS Mock AIME94.2%98.3%Mistral Large 4
FrontierMath, tiers 1 to 358.9%58.6%Gemini 3.6 Flash
FrontierMath, tier 422.0%26.8%Mistral Large 4
ProofBench36.0%10.0%Gemini 3.6 Flash
LMArena Text: math15081469Gemini 3.6 Flash
LMArena Text: mathematical work14921462Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%40.7%Gemini 3.6 Flash
SimpleQA Verified66.2%20.0%Gemini 3.6 Flash
LMArena Text: science14891448Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691433Gemini 3.6 Flash
LMArena Text: legal and government14791425Gemini 3.6 Flash
LMArena Text: business and finance14641439Gemini 3.6 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
Design Arena: websites13011258Gemini 3.6 Flash
Design Arena: UI components12971275Gemini 3.6 Flash
Design Arena: game dev12631226Gemini 3.6 Flash
Design Arena: data viz12891274Gemini 3.6 Flash
Design Arena: 3D12721253Gemini 3.6 Flash
Design Arena: all code categories12901259Gemini 3.6 Flash
Design Arena: SVGNot measured1232Only Mistral Large 4 measured
Design Arena: ASCII art12811203Gemini 3.6 Flash
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index202
General benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.6 Flash measured
MedScribe (Vals AI)79.7%80.4%Mistral Large 4
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%81.3%Mistral Large 4
DTBench95.5%88.2%Gemini 3.6 Flash
LMCA44.9%35.8%Gemini 3.6 Flash
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assembly23.3%20.8%Gemini 3.6 Flash
LMArena Text14801431Gemini 3.6 Flash
LMArena Text: instruction following14671422Gemini 3.6 Flash
LMArena Text: creative writing14661363Gemini 3.6 Flash
LMArena Vision12991272Gemini 3.6 Flash
LMArena Text: English14821433Gemini 3.6 Flash
LMArena Text: non-English14701422Gemini 3.6 Flash
LMArena Text: Chinese15311492Gemini 3.6 Flash
LMArena Text: German1480Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Japanese14751415Gemini 3.6 Flash
LMArena Text: Korean1429Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: French15031492Gemini 3.6 Flash
LMArena Text: Spanish14761455Gemini 3.6 Flash
LMArena Text: Russian14881417Gemini 3.6 Flash
LMArena Text: Polish1473Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: multi-turn14811435Gemini 3.6 Flash
LMArena Text: longer queries14751428Gemini 3.6 Flash
LMArena Text: writing and language14701386Gemini 3.6 Flash
LMArena Text: entertainment and media14561378Gemini 3.6 Flash
LMArena Vision: English12951283Gemini 3.6 Flash
LMArena Vision: Chinese1357Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: reading text13121284Gemini 3.6 Flash
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing1278Not measuredOnly Gemini 3.6 Flash measured
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.6 Flash and Mistral Large 4
BenchmarkGemini 3.6 FlashMistral Large 4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.6 Flash$0.0026Fits in one request
Mistral Large 4$0.0034Fits in one request

Gemini 3.6 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Mistral Large 4$0.081Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Mistral Large 4$0.314Fits in one request

Gemini 3.6 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.6 Flash and Mistral Large 4
SpecificationGoogle Gemini 3.6 FlashMistral Large 4
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.36
Output $/Mtok$3.75$4.18
Coding index48.355.3
Independent measurements behind it12
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 48.3 for Gemini 3.6 Flash. Pick Gemini 3.6 Flash when output tokens cost 1.1x less, or when what matters is Code migration (Vals AI) or LMArena Text: coding, where it leads.

Which is cheaper, Gemini 3.6 Flash or Mistral Large 4?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.6 Flash vs Mistral Large 4 comparison based on?

67 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 1 independent benchmark and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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