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Gemini 3.6 Flash vs Mistral Medium 3.5

Updated October 21, 2026. 74 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.6 FlashGoogle
Coding
48.3
Overall
34.0
Output $/M
$3.75
73
Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
1
vs boards won of 74 shared

Decision reading

Pick Gemini 3.6 Flash for coding: it scores 48.3 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 when the benchmark that matters is ALE-Bench, where it leads.

Shared results
74
Gemini 3.6 Flash only
33
Mistral Medium 3.5 only
6
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 Medium 3.5 9.2 from 1 benchmark.
Widest category
Agentic work, 26.0 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.6 Flash 64.0% against Mistral Medium 3.5 2.9%, 61.1 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Mistral Medium 3.5 $7.50 per million output tokens, 2.0x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Mistral Medium 3.5 262K.

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 Medium 3.5Ties
Coding111
Intelligence20
Agentic work50
Reasoning80
Math30
Knowledge90
Web design70
General280
All shared boards731
CodingLike-for-likeFour of these boards feed the Vibe Coding Index111
Coding benchmarks for Gemini 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
LMArena WebDev15381264Gemini 3.6 Flash
AA Coding Index69.246.9Gemini 3.6 Flash
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%66.4%Gemini 3.6 Flash
Vibe Code Bench (Vals AI)64.0%2.9%Gemini 3.6 Flash
Code migration (Vals AI)30.9%5.1%Gemini 3.6 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%39.0%Gemini 3.6 Flash
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%40.2%Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only Mistral Medium 3.5 measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5764.0Mistral Medium 3.5
LMArena Text: coding14911460Gemini 3.6 Flash
LMArena Text: software and IT14921458Gemini 3.6 Flash
LMArena WebDev: React15281254Gemini 3.6 Flash
LMArena WebDev: HTML15471308Gemini 3.6 Flash
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
AA Intelligence Index34.014.2Gemini 3.6 Flash
Epoch Capabilities Index154.5141.4Gemini 3.6 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Gemini 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
AA Agentic Index29.07.0Gemini 3.6 Flash
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
Finance Agent (Vals AI)56.3%32.1%Gemini 3.6 Flash
Tax Agent Bench (Vals AI)18.0%4.5%Gemini 3.6 Flash
Legal Research Bench (Vals AI)25.0%9.1%Gemini 3.6 Flash
Excel Modeling Benchmark (Vals AI)65.4%11.2%Gemini 3.6 Flash
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
τ²-Bench TelecomNot measured94.2%Only Mistral Medium 3.5 measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 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 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
GPQA Diamond93.4%34.9%Gemini 3.6 Flash
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%74.8%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%13.8%Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)94.1%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI91.2%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI-260.4%Not measuredOnly Gemini 3.6 Flash measured
Chess puzzles42.0%Not measuredOnly Gemini 3.6 Flash measured
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts14861436Gemini 3.6 Flash
LMArena Text: expert14901432Gemini 3.6 Flash
LMArena Text: hard prompts in English14841445Gemini 3.6 Flash
LMArena Vision: diagrams13141254Gemini 3.6 Flash
LMArena Vision: homework13141230Gemini 3.6 Flash
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
OTIS Mock AIME94.2%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 358.9%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.6 Flash measured
ProofBench36.0%9.0%Gemini 3.6 Flash
LMArena Text: math15081431Gemini 3.6 Flash
LMArena Text: mathematical work14921440Gemini 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 index90
Knowledge benchmarks for Gemini 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
MMLU Pro89.3%75.3%Gemini 3.6 Flash
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)63.3%58.8%Gemini 3.6 Flash
TaxEval (Vals AI)74.9%68.0%Gemini 3.6 Flash
MortgageTax (Vals AI)67.6%28.9%Gemini 3.6 Flash
MedCode (Vals AI)53.1%33.8%Gemini 3.6 Flash
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science14891428Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691409Gemini 3.6 Flash
LMArena Text: legal and government14791437Gemini 3.6 Flash
LMArena Text: business and finance14641426Gemini 3.6 Flash
Neither model has a result on the other 5 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 Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
Design Arena: websites13011142Gemini 3.6 Flash
Design Arena: UI components12971079Gemini 3.6 Flash
Design Arena: game dev12631079Gemini 3.6 Flash
Design Arena: data viz12891120Gemini 3.6 Flash
Design Arena: 3D12721061Gemini 3.6 Flash
Design Arena: all code categories12901122Gemini 3.6 Flash
Design Arena: SVGNot measured949Only Mistral Medium 3.5 measured
Design Arena: ASCII art12811062Gemini 3.6 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for Gemini 3.6 Flash and Mistral Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%37.6%Gemini 3.6 Flash
MedScribe (Vals AI)79.7%67.7%Gemini 3.6 Flash
Vals Multimodal Index65.1%34.8%Gemini 3.6 Flash
IFBenchNot measured68.8%Only Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)80.0%69.3%Gemini 3.6 Flash
DTBench95.5%75.5%Gemini 3.6 Flash
LMCA44.9%26.1%Gemini 3.6 Flash
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801421Gemini 3.6 Flash
LMArena Text: instruction following14671415Gemini 3.6 Flash
LMArena Text: creative writing14661374Gemini 3.6 Flash
LMArena Vision12991222Gemini 3.6 Flash
LMArena Text: English14821433Gemini 3.6 Flash
LMArena Text: non-English14701404Gemini 3.6 Flash
LMArena Text: Chinese15311444Gemini 3.6 Flash
LMArena Text: German14801453Gemini 3.6 Flash
LMArena Text: Japanese1475Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Korean14291384Gemini 3.6 Flash
LMArena Text: French15031448Gemini 3.6 Flash
LMArena Text: Spanish14761411Gemini 3.6 Flash
LMArena Text: Russian14881395Gemini 3.6 Flash
LMArena Text: Polish14731430Gemini 3.6 Flash
LMArena Text: multi-turn14811423Gemini 3.6 Flash
LMArena Text: longer queries14751415Gemini 3.6 Flash
LMArena Text: writing and language14701384Gemini 3.6 Flash
LMArena Text: entertainment and media14561382Gemini 3.6 Flash
LMArena Vision: English12951240Gemini 3.6 Flash
LMArena Vision: Chinese13571244Gemini 3.6 Flash
LMArena Vision: reading text13121233Gemini 3.6 Flash
LMArena Vision: humor12891216Gemini 3.6 Flash
LMArena Vision: creative writing12781198Gemini 3.6 Flash
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 Medium 3.5
BenchmarkGemini 3.6 FlashMistral Medium 3.5Leader
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 Medium 3.5$0.0053Fits 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 Medium 3.5$0.098Fits 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 Medium 3.5$0.375Fits 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 Medium 3.5
SpecificationGoogle Gemini 3.6 FlashMistral Medium 3.5
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026April 30, 2026
Context window1.05M262K
Input $/Mtok$0.75$1.50
Output $/Mtok$3.75$7.50
Coding index48.39.2
Independent measurements behind it11
Cost per solved task$1.49$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Mistral Medium 3.5 for coding?

Pick Gemini 3.6 Flash for coding: it scores 48.3 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Pick Mistral Medium 3.5 when the benchmark that matters is ALE-Bench, where it leads.

Which is cheaper, Gemini 3.6 Flash or Mistral Medium 3.5?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Gemini 3.6 Flash or Mistral Medium 3.5?

Gemini 3.6 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.6 Flash vs Mistral Medium 3.5 comparison based on?

74 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 Medium 3.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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