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Gemini 3.6 Flash vs Mistral Medium 3

Updated October 21, 2026. 48 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 Medium 3
Gemini 3.6 FlashGoogle
Coding
62.5
Overall
34.0
Output $/M
$3.75
48
Mistral Medium 3Mistral AI
Coding
No data
Overall
9.0
Output $/M
$2.00
0
vs boards won of 48 shared

Decision reading

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding.

Mistral Medium 3 has the edge where output tokens cost 1.9x less.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved taskModel BMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
48
Gemini 3.6 Flash only
59
Mistral Medium 3 only
9
Like-for-like categories
7 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 62.5 from 4 benchmarks, Mistral Medium 3 not benchmarked.
Widest category
Web design, 29.3 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 3.6 Flash 80.0% against Mistral Medium 3 31.3%, 48.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.6 Flash $3.75 against Mistral Medium 3 $2.00 per million output tokens, 1.9x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Mistral Medium 3 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 3.6 FlashBarsMistral Medium 3Ties
Coding20
Intelligence20
Reasoning70
Math20
Knowledge40
Web design60
General250
All shared boards480
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
LMArena WebDev1538Not measuredOnly Gemini 3.6 Flash measured
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
Vibe Code Bench (Vals AI)64.0%Not measuredOnly Gemini 3.6 Flash measured
Code migration (Vals AI)30.9%Not measuredOnly Gemini 3.6 Flash measured
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%Not measuredOnly Gemini 3.6 Flash measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured40.0%Only Mistral Medium 3 measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Mistral Medium 3 measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding14911385Gemini 3.6 Flash
LMArena Text: software and IT14921385Gemini 3.6 Flash
LMArena WebDev: React1528Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: HTML1547Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 17 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
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
AA Intelligence Index34.09.0Gemini 3.6 Flash
Epoch Capabilities Index154.5134.0Gemini 3.6 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
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 apps1209Not 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%Not measuredOnly Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%Not measuredOnly Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%Not measuredOnly Gemini 3.6 Flash measured
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 measured24.3%Only Mistral Medium 3 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 index70
Reasoning benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%57.8%Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)40.8%4.1%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 prompts14861364Gemini 3.6 Flash
LMArena Text: expert14901342Gemini 3.6 Flash
LMArena Text: hard prompts in English14841374Gemini 3.6 Flash
LMArena Vision: diagrams13141155Gemini 3.6 Flash
LMArena Vision: homework13141165Gemini 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 index20
Math benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
AA Math IndexNot measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 3 measured
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%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: math15081353Gemini 3.6 Flash
LMArena Text: mathematical work14921354Gemini 3.6 Flash
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
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%Not measuredOnly Gemini 3.6 Flash measured
MMLU Pro (Artificial Analysis run)Not measured76.0%Only Mistral Medium 3 measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science14891381Gemini 3.6 Flash
LMArena Text: medicine and healthcare14691381Gemini 3.6 Flash
LMArena Text: legal and government14791384Gemini 3.6 Flash
LMArena Text: business and finance14641352Gemini 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 index60
Web design benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
Design Arena: websites13011079Gemini 3.6 Flash
Design Arena: UI components12971024Gemini 3.6 Flash
Design Arena: game dev12631018Gemini 3.6 Flash
Design Arena: data viz12891034Gemini 3.6 Flash
Design Arena: 3D12721083Gemini 3.6 Flash
Design Arena: all code categories12901069Gemini 3.6 Flash
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for Gemini 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
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%Not measuredOnly Gemini 3.6 Flash measured
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
IFBenchNot measured39.3%Only Mistral Medium 3 measured
Long context reasoning (AA-LCR)80.0%31.3%Gemini 3.6 Flash
DTBench95.5%62.3%Gemini 3.6 Flash
LMCA44.9%Not measuredOnly Gemini 3.6 Flash measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text14801370Gemini 3.6 Flash
LMArena Text: instruction following14671338Gemini 3.6 Flash
LMArena Text: creative writing14661343Gemini 3.6 Flash
LMArena Vision12991157Gemini 3.6 Flash
LMArena Text: English14821385Gemini 3.6 Flash
LMArena Text: non-English14701353Gemini 3.6 Flash
LMArena Text: Chinese15311374Gemini 3.6 Flash
LMArena Text: German14801377Gemini 3.6 Flash
LMArena Text: Japanese14751316Gemini 3.6 Flash
LMArena Text: Korean14291304Gemini 3.6 Flash
LMArena Text: French15031368Gemini 3.6 Flash
LMArena Text: Spanish14761364Gemini 3.6 Flash
LMArena Text: Russian14881359Gemini 3.6 Flash
LMArena Text: Polish14731371Gemini 3.6 Flash
LMArena Text: multi-turn14811384Gemini 3.6 Flash
LMArena Text: longer queries14751360Gemini 3.6 Flash
LMArena Text: writing and language14701352Gemini 3.6 Flash
LMArena Text: entertainment and media14561335Gemini 3.6 Flash
LMArena Vision: English12951172Gemini 3.6 Flash
LMArena Vision: Chinese13571161Gemini 3.6 Flash
LMArena Vision: reading text13121154Gemini 3.6 Flash
LMArena Vision: humor12891145Gemini 3.6 Flash
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writing12781146Gemini 3.6 Flash
LMArena Document1456Not measuredOnly Gemini 3.6 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 3.6 Flash and Mistral Medium 3
BenchmarkGemini 3.6 FlashMistral Medium 3Leader
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$0.0014Fits in one request

Mistral Medium 3 costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Mistral Medium 3$0.026Fits in one request

Mistral Medium 3 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Mistral Medium 3$0.100Exceeds the context window

Mistral Medium 3 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
SpecificationGoogle Gemini 3.6 FlashMistral Medium 3
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026May 7, 2025
Context window1.05M131K
Input $/Mtok$0.75$0.40
Output $/Mtok$3.75$2.00
Coding index62.5Not benchmarked
Independent measurements behind it40
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Mistral Medium 3 for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding. Mistral Medium 3 has the edge where output tokens cost 1.9x less.

Which is cheaper, Gemini 3.6 Flash or Mistral Medium 3?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Mistral Medium 3?

Gemini 3.6 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 3.6 Flash vs Mistral Medium 3 comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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