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Gemini 3.5 Flash vs Mistral Medium 3.1

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.5 Flash Replace Mistral Medium 3.1
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
33.6
Output $/M
$9.00
62
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
0
vs boards won of 62 shared

Decision reading

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Mistral Medium 3.1 has the edge where output tokens cost 4.5x less.

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
62
Gemini 3.5 Flash only
48
Mistral Medium 3.1 only
12
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 3.5 Flash 39.8 from 4 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 55.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemini 3.5 Flash 95.6% against Mistral Medium 3.1 40.6%, 55.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Mistral Medium 3.1 $2.00 per million output tokens, 4.5x apart.
Context window
Gemini 3.5 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 3.5 FlashBarsMistral Medium 3.1Ties
Coding60
Intelligence10
Agentic work10
Reasoning80
Math20
Knowledge90
Web design80
General270
All shared boards620
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)87.6%44.8%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%Not measuredOnly Gemini 3.5 Flash measured
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCode53.9%32.4%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%10.6%Gemini 3.5 Flash
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0210.2Gemini 3.5 Flash
LMArena Text: coding14931433Gemini 3.5 Flash
LMArena Text: software and IT14941436Gemini 3.5 Flash
LMArena WebDev: React1495Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: HTML1522Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
AA Intelligence Index33.69.2Gemini 3.5 Flash
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1175Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1190Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1142Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1179Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%Not measuredOnly Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%40.6%Gemini 3.5 Flash
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
MMMU Pro (Vals AI)88.3%63.0%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)92.2%58.8%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%4.7%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881426Gemini 3.5 Flash
LMArena Text: expert14951408Gemini 3.5 Flash
LMArena Text: hard prompts in English14831435Gemini 3.5 Flash
LMArena Vision: diagrams13231175Gemini 3.5 Flash
LMArena Vision: homework13301165Gemini 3.5 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 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 AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math15041408Gemini 3.5 Flash
LMArena Text: mathematical work14951412Gemini 3.5 Flash
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
MMLU Pro89.5%75.3%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%62.0%Gemini 3.5 Flash
CorpFin (Vals AI)64.7%50.7%Gemini 3.5 Flash
TaxEval (Vals AI)74.4%70.3%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%36.5%Gemini 3.5 Flash
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951444Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831449Gemini 3.5 Flash
LMArena Text: legal and government14881439Gemini 3.5 Flash
LMArena Text: business and finance14671418Gemini 3.5 Flash
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 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
Design Arena: websites12681133Gemini 3.5 Flash
Design Arena: UI components12731099Gemini 3.5 Flash
Design Arena: game dev12631074Gemini 3.5 Flash
Design Arena: data viz12361144Gemini 3.5 Flash
Design Arena: 3D12441081Gemini 3.5 Flash
Design Arena: all code categories12661120Gemini 3.5 Flash
Design Arena: SVG1254993Gemini 3.5 Flash
Design Arena: ASCII art1254997Gemini 3.5 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index270
General benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 FlashMistral Medium 3.1Leader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%39.8%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%42.7%Gemini 3.5 Flash
DTBench94.7%67.5%Gemini 3.5 Flash
LMCA47.1%19.1%Gemini 3.5 Flash
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821424Gemini 3.5 Flash
LMArena Text: instruction following14671398Gemini 3.5 Flash
LMArena Text: creative writing14701391Gemini 3.5 Flash
LMArena Vision13081172Gemini 3.5 Flash
LMArena Text: English14811438Gemini 3.5 Flash
LMArena Text: non-English14751408Gemini 3.5 Flash
LMArena Text: Chinese15271447Gemini 3.5 Flash
LMArena Text: German14941432Gemini 3.5 Flash
LMArena Text: Japanese14861379Gemini 3.5 Flash
LMArena Text: Korean14481380Gemini 3.5 Flash
LMArena Text: French14901460Gemini 3.5 Flash
LMArena Text: Spanish14801433Gemini 3.5 Flash
LMArena Text: Russian14931411Gemini 3.5 Flash
LMArena Text: Polish15161430Gemini 3.5 Flash
LMArena Text: multi-turn14811418Gemini 3.5 Flash
LMArena Text: longer queries14831406Gemini 3.5 Flash
LMArena Text: writing and language14781395Gemini 3.5 Flash
LMArena Text: entertainment and media14591390Gemini 3.5 Flash
LMArena Vision: English13051179Gemini 3.5 Flash
LMArena Vision: Chinese13771190Gemini 3.5 Flash
LMArena Vision: reading text13171175Gemini 3.5 Flash
LMArena Vision: humor13211168Gemini 3.5 Flash
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writing13011200Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and Mistral Medium 3.1
BenchmarkGemini 3.5 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 3.5 Flash$0.0060Fits 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 3.5 Flash$0.102Fits 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 3.5 Flash$0.390Fits 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 3.5 Flash and Mistral Medium 3.1
SpecificationGoogle Gemini 3.5 FlashMistral Medium 3.1
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026August 13, 2025
Context window1.05M131K
Input $/Mtok$1.50$0.40
Output $/Mtok$9.00$2.00
Coding index39.8Not benchmarked
Independent measurements behind it40
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Mistral Medium 3.1 for coding?

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Mistral Medium 3.1 has the edge where output tokens cost 4.5x less.

Which is cheaper, Gemini 3.5 Flash or Mistral Medium 3.1?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Mistral Medium 3.1?

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

How many benchmarks is the Gemini 3.5 Flash vs Mistral Medium 3.1 comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 4 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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