Enter opens the highlighted result. Esc closes.

Gemini 3.7 Flash vs Mistral Large 4

Gemini 3.7 Flash leads Mistral Large 4 on coding, 58.0 to 56.4 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.18 per million). Updated October 22, 2026; 75 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Mistral Large 4
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
69
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
6
vs boards won of 75 shared

Gemini 3.7 Flash or Mistral Large 4: which to pick

Gemini 3.7 Flash and Mistral Large 4 are level for coding, 58.0 against 56.4 on the Vibe Coding Index, so price and context decide.

Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or Vibe Code Bench (Vals AI), where it leads. Pick Gemini 3.7 Flash for output tokens 1.1x cheaper ($3.75 vs $4.18 per million) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
75
Gemini 3.7 Flash only
39
Mistral Large 4 only
6
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 3.7 Flash 58.0 from 6 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 20.4 points apart on average over 7 shared benchmarks.
Widest single gap
SimpleQA Verified: Gemini 3.7 Flash 69.2% against Mistral Large 4 20.0%, 49.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 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 3.7 FlashBarsMistral Large 4Ties
Coding103
Intelligence20
Agentic work61
Reasoning90
Math51
Knowledge60
Web design90
General221
All shared boards696
CodingLike-for-likeSix of these boards feed the Vibe Coding Index103
Coding benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
LiveBench coding80.5%60.0%Gemini 3.7 Flash
LMArena WebDev15911543Gemini 3.7 Flash
AA Coding Index71.5Not measuredOnly Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%27.8%Mistral Large 4
Vibe Code Bench (Vals AI)70.4%78.4%Mistral Large 4
Code migration (Vals AI)34.8%30.6%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%45.3%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%Not measuredOnly Gemini 3.7 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
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%54.2%Gemini 3.7 Flash
FrontierCode43.6%39.4%Gemini 3.7 Flash
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.31213.2Mistral Large 4
LMArena Text: coding14991478Gemini 3.7 Flash
LMArena Text: software and IT14981467Gemini 3.7 Flash
LMArena WebDev: React15871559Gemini 3.7 Flash
LMArena WebDev: HTML15931487Gemini 3.7 Flash
LMArena WebDev: from an image1599Not measuredOnly Gemini 3.7 Flash measured
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
AA Intelligence Index39.638.4Gemini 3.7 Flash
Epoch Capabilities Index158.0150.0Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index61
Agentic work benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
Design Arena: agents building web apps1223Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps1208Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building mobile apps1229Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1243Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: spreadsheets1058Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%28.1%Gemini 3.7 Flash
LiveBench browser56.0%8.0%Gemini 3.7 Flash
LiveBench long agentic28.3%11.8%Gemini 3.7 Flash
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%54.7%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%30.4%Mistral Large 4
Legal Research Bench (Vals AI)34.6%31.7%Gemini 3.7 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)71.3%56.2%Gemini 3.7 Flash
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
APEX-Agents67.8%Not measuredOnly Gemini 3.7 Flash measured
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%83.9%Gemini 3.7 Flash
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%Not measuredOnly Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.9%35.0%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%88.1%Gemini 3.7 Flash
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%33.0%Gemini 3.7 Flash
Mystery game puzzles37.0%17.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951444Gemini 3.7 Flash
LMArena Text: expert15121444Gemini 3.7 Flash
LMArena Text: hard prompts in English14871442Gemini 3.7 Flash
LMArena Vision: diagrams13291288Gemini 3.7 Flash
LMArena Vision: homework1320Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
OTIS Mock AIME97.2%98.3%Mistral Large 4
FrontierMath, tiers 1 to 371.6%58.6%Gemini 3.7 Flash
FrontierMath, tier 436.6%26.8%Gemini 3.7 Flash
ProofBench58.0%10.0%Gemini 3.7 Flash
LMArena Text: math15111469Gemini 3.7 Flash
LMArena Text: mathematical work15021462Gemini 3.7 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 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%40.7%Gemini 3.7 Flash
SimpleQA Verified69.2%20.0%Gemini 3.7 Flash
LMArena Text: science15111448Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941433Gemini 3.7 Flash
LMArena Text: legal and government14961425Gemini 3.7 Flash
LMArena Text: business and finance14791439Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
Design Arena: websites13031257Gemini 3.7 Flash
Design Arena: UI components12961272Gemini 3.7 Flash
Design Arena: game dev13171225Gemini 3.7 Flash
Design Arena: data viz13151275Gemini 3.7 Flash
Design Arena: 3D13071252Gemini 3.7 Flash
Design Arena: all code categories13081259Gemini 3.7 Flash
Design Arena: SVG12831232Gemini 3.7 Flash
Design Arena: ASCII art12761202Gemini 3.7 Flash
LiveBench design73.2%65.6%Gemini 3.7 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index221
General benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 FlashMistral Large 4Leader
LiveBench data analysis68.0%76.5%Mistral Large 4
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%80.4%Gemini 3.7 Flash
Long context reasoning (AA-LCR)83.0%81.3%Gemini 3.7 Flash
DTBench96.8%88.2%Gemini 3.7 Flash
LMCA50.4%35.8%Gemini 3.7 Flash
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assembly26.7%20.8%Gemini 3.7 Flash
LMArena Text14891431Gemini 3.7 Flash
LMArena Text: instruction following14841422Gemini 3.7 Flash
LMArena Text: creative writing14881363Gemini 3.7 Flash
LMArena Vision13141272Gemini 3.7 Flash
LMArena Text: English14831433Gemini 3.7 Flash
LMArena Text: non-English14871422Gemini 3.7 Flash
LMArena Text: Chinese15521492Gemini 3.7 Flash
LMArena Text: German1506Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Japanese15111415Gemini 3.7 Flash
LMArena Text: Korean1481Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: French15001492Gemini 3.7 Flash
LMArena Text: Spanish14951455Gemini 3.7 Flash
LMArena Text: Russian15151417Gemini 3.7 Flash
LMArena Text: Polish1503Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: multi-turn14851435Gemini 3.7 Flash
LMArena Text: longer queries14921428Gemini 3.7 Flash
LMArena Text: writing and language14911386Gemini 3.7 Flash
LMArena Text: entertainment and media14771378Gemini 3.7 Flash
LMArena Vision: English13091283Gemini 3.7 Flash
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text13221284Gemini 3.7 Flash
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing1312Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and Mistral Large 4
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
Mistral Large 4$0.0034Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Mistral Large 4$0.081Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Mistral Large 4$0.314Fits in one request

Gemini 3.7 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 3.7 Flash and Mistral Large 4
SpecificationGoogle Gemini 3.7 FlashMistral Large 4
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.36
Output $/Mtok$3.75$4.18
Coding index58.056.4
Independent measurements behind it65
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Mistral Large 4 for coding?

Gemini 3.7 Flash and Mistral Large 4 are level for coding, 58.0 against 56.4 on the Vibe Coding Index, so price and context decide. Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or Vibe Code Bench (Vals AI), where it leads. Pick Gemini 3.7 Flash for output tokens 1.1x cheaper ($3.75 vs $4.18 per million) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Which is cheaper, Gemini 3.7 Flash or Mistral Large 4?

Gemini 3.7 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 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs Mistral Large 4 comparison based on?

75 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-7-flash-vs-mistral-large-4-0" title="Gemini 3.7 Flash vs Mistral Large 4, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-mistral-large-4-0">LLMBenchmark.ai, Gemini 3.7 Flash vs Mistral Large 4</a></p>