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Gemini 3.7 Flash vs Mistral Medium 3.1

Gemini 3.7 Flash leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 39.6 to 9.2, and Mistral Medium 3.1 costs 1.9x less per output token ($2.00 vs $3.75 per million). Updated October 21, 2026; 59 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Mistral Medium 3.1
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
59
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
vs boards won of 59 shared

Gemini 3.7 Flash or Mistral Medium 3.1: which to pick

Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 1.9x cheaper ($2.00 vs $3.75 per million).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
59
Gemini 3.7 Flash only
55
Mistral Medium 3.1 only
15
Like-for-like categories
7 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 Medium 3.1 not benchmarked.
Widest category
Intelligence, 30.4 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: Gemini 3.7 Flash 71.5 against Mistral Medium 3.1 20.5, 51.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Mistral Medium 3.1 $2.00 per million output tokens, 1.9x apart.
Context window
Gemini 3.7 Flash takes 1.05M tokens, Mistral Medium 3.1 131K.

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 Medium 3.1Ties
Coding60
Intelligence10
Reasoning80
Math20
Knowledge80
Web design80
General260
All shared boards590
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev1591Not measuredOnly Gemini 3.7 Flash measured
AA Coding Index71.520.5Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%44.8%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%Not measuredOnly Gemini 3.7 Flash measured
Code migration (Vals AI)34.8%Not measuredOnly Gemini 3.7 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%Not measuredOnly Gemini 3.7 Flash 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
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCode59.8%32.4%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured10.6%Only Mistral Medium 3.1 measured
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3210.2Gemini 3.7 Flash
LMArena Text: coding14991433Gemini 3.7 Flash
LMArena Text: software and IT14981436Gemini 3.7 Flash
LMArena WebDev: React1587Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev: HTML1593Not measuredOnly Gemini 3.7 Flash measured
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 index10
Intelligence benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
AA Intelligence Index39.69.2Gemini 3.7 Flash
Epoch Capabilities Index158.0Not measuredOnly Gemini 3.7 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
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 apps1230Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Android apps1242Not 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: spreadsheets1053Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%Not measuredOnly Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)22.8%Not measuredOnly Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)34.6%Not measuredOnly Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)71.3%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured40.6%Only Mistral Medium 3.1 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 index80
Reasoning benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%63.0%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%58.8%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%4.7%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%Not measuredOnly Gemini 3.7 Flash measured
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951426Gemini 3.7 Flash
LMArena Text: expert15121408Gemini 3.7 Flash
LMArena Text: hard prompts in English14871435Gemini 3.7 Flash
LMArena Vision: diagrams13291175Gemini 3.7 Flash
LMArena Vision: homework13201165Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
OTIS Mock AIME97.2%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: math15111408Gemini 3.7 Flash
LMArena Text: mathematical work15021412Gemini 3.7 Flash
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
MMLU Pro90.1%75.3%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%62.0%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)74.7%70.3%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%36.5%Gemini 3.7 Flash
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MedCode (Vals AI)53.4%Not measuredOnly Gemini 3.7 Flash measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111444Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941449Gemini 3.7 Flash
LMArena Text: legal and government14961439Gemini 3.7 Flash
LMArena Text: business and finance14791418Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
Design Arena: websites13041133Gemini 3.7 Flash
Design Arena: UI components12991100Gemini 3.7 Flash
Design Arena: game dev13181074Gemini 3.7 Flash
Design Arena: data viz13151144Gemini 3.7 Flash
Design Arena: 3D13081081Gemini 3.7 Flash
Design Arena: all code categories13081120Gemini 3.7 Flash
Design Arena: SVG1283993Gemini 3.7 Flash
Design Arena: ASCII art1276997Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for Gemini 3.7 Flash and Mistral Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%Not measuredOnly Gemini 3.7 Flash measured
IFBenchNot measured39.8%Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)83.0%42.7%Gemini 3.7 Flash
DTBench96.8%67.5%Gemini 3.7 Flash
LMCA50.4%19.1%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891424Gemini 3.7 Flash
LMArena Text: instruction following14841398Gemini 3.7 Flash
LMArena Text: creative writing14881391Gemini 3.7 Flash
LMArena Vision13141172Gemini 3.7 Flash
LMArena Text: English14831438Gemini 3.7 Flash
LMArena Text: non-English14871408Gemini 3.7 Flash
LMArena Text: Chinese15521447Gemini 3.7 Flash
LMArena Text: German15061432Gemini 3.7 Flash
LMArena Text: Japanese15111379Gemini 3.7 Flash
LMArena Text: Korean14811380Gemini 3.7 Flash
LMArena Text: French15001460Gemini 3.7 Flash
LMArena Text: Spanish14951433Gemini 3.7 Flash
LMArena Text: Russian15151411Gemini 3.7 Flash
LMArena Text: Polish15031430Gemini 3.7 Flash
LMArena Text: multi-turn14851418Gemini 3.7 Flash
LMArena Text: longer queries14921406Gemini 3.7 Flash
LMArena Text: writing and language14911395Gemini 3.7 Flash
LMArena Text: entertainment and media14771390Gemini 3.7 Flash
LMArena Vision: English13091179Gemini 3.7 Flash
LMArena Vision: Chinese13941190Gemini 3.7 Flash
LMArena Vision: reading text13221175Gemini 3.7 Flash
LMArena Vision: humor12991168Gemini 3.7 Flash
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writing13121200Gemini 3.7 Flash
Neither model has a result on the other 13 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 Medium 3.1
BenchmarkGemini 3.7 FlashMistral Medium 3.1Leader
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 Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 Medium 3.1
SpecificationGoogle Gemini 3.7 FlashMistral Medium 3.1
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026August 13, 2025
Context window1.05M131K
Input $/Mtok$0.75$0.40
Output $/Mtok$3.75$2.00
Coding index58.0Not benchmarked
Independent measurements behind it60
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Mistral Medium 3.1 for coding?

Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 1.9x cheaper ($2.00 vs $3.75 per million).

Which is cheaper, Gemini 3.7 Flash or Mistral Medium 3.1?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or Mistral Medium 3.1?

Gemini 3.7 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 3.7 Flash vs Mistral Medium 3.1 comparison based on?

59 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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