Gemini 3.6 Flash vs Mistral Medium 3.1

Updated October 21, 2026. 60 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 3.1

Gemini 3.6 FlashGoogle

Coding: 62.5
Overall: 34.0
Output $/M: $3.75

Mistral Medium 3.1Mistral AI

Coding: No data
Overall: 9.2
Output $/M: $2.00

vs boards won of 60 shared

Decision reading

Only Gemini 3.6 Flash has a coding score, 62.5 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 1.9x less.

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task Model BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task

604714

Shared results: 60
Gemini 3.6 Flash only: 47
Mistral Medium 3.1 only: 14
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Gemini 3.6 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 29.0 against 1.9.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.6 Flash has a GPQA Diamond result, 93.4%.
Directional only
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 89.3% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1301 against 1133.
Same board, both measured
Long documents
Listed context window
Gemini 3.6 Flash
Gemini 3.6 Flash takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Medium 3.1
Gemini 3.6 Flash $0.0026, Mistral Medium 3.1 $0.0014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.6 Flash has the number, $1.49.
Directional only

At a glance

Coding index: Gemini 3.6 Flash 62.5 from 4 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category: Agentic work, 27.1 points apart on average over 1 shared benchmark.
Widest single gap: AA Coding Index: Gemini 3.6 Flash 69.2 against Mistral Medium 3.1 20.5, 48.7 points apart on a 0 to 100 scale.
Output price: Gemini 3.6 Flash $3.75 against Mistral Medium 3.1 $2.00 per million output tokens, 1.9x apart.
Context window: Gemini 3.6 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
Category	Gemini 3.6 Flash	Bars	Mistral Medium 3.1	Ties
Coding	6		0
Intelligence	1		0
Agentic work	1		0
Reasoning	8		0
Math	2		0
Knowledge	9		0
Web design	7		0
General	26		0
All shared boards	60		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index60

Coding benchmarks for Gemini 3.6 Flash and Mistral Medium 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
LMArena WebDev	1538	Not measured	Only Gemini 3.6 Flash measured
AA Coding Index	69.2	20.5	Gemini 3.6 Flash
LiveCodeBench (Vals AI)	88.1%	44.8%	Gemini 3.6 Flash
SWE-bench Verified (Vals AI)	79.6%	Not measured	Only Gemini 3.6 Flash measured
Vibe Code Bench (Vals AI)	64.0%	Not measured	Only Gemini 3.6 Flash measured
Code migration (Vals AI)	30.9%	Not measured	Only Gemini 3.6 Flash measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.6 Flash measured
IOI (Vals AI)	35.1%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)	73.8%	Not measured	Only Gemini 3.6 Flash measured
CyberBench (Vals AI)	45.4%	Not measured	Only Gemini 3.6 Flash measured
LiveCodeBench (Artificial Analysis run)	Not measured	40.6%	Only Mistral Medium 3.1 measured
SciCode	53.4%	32.4%	Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	10.6%	Only Mistral Medium 3.1 measured
FrontierCode	34.4%	Not measured	Only Gemini 3.6 Flash measured
WeirdML	56.1%	Not measured	Only Gemini 3.6 Flash measured
ALE-Bench	715.5	210.2	Gemini 3.6 Flash
LMArena Text: coding	1491	1433	Gemini 3.6 Flash
LMArena Text: software and IT	1492	1436	Gemini 3.6 Flash
LMArena WebDev: React	1528	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: HTML	1547	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: from an image	1545	Not measured	Only 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 index10

Intelligence benchmarks for Gemini 3.6 Flash and Mistral Medium 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
AA Intelligence Index	34.0	9.2	Gemini 3.6 Flash
Epoch Capabilities Index	154.5	Not measured	Only Gemini 3.6 Flash measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for Gemini 3.6 Flash and Mistral Medium 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
AA Agentic Index	29.0	1.9	Gemini 3.6 Flash
Design Arena: agents building web apps	1197	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps	1181	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building mobile apps	1199	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building Android apps	1209	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building games	1181	Not measured	Only Gemini 3.6 Flash measured
Design Arena: HTML slides	1148	Not measured	Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slides	1146	Not measured	Only Gemini 3.6 Flash measured
Design Arena: spreadsheets	1017	Not measured	Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)	56.3%	Not measured	Only Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)	18.0%	Not measured	Only Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)	25.0%	Not measured	Only Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)	65.4%	Not measured	Only Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)	58.5%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)	4.3%	Not measured	Only Gemini 3.6 Flash measured
τ²-Bench Telecom	Not measured	40.6%	Only Mistral Medium 3.1 measured
APEX-Agents	46.9%	Not measured	Only 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 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
GPQA Diamond	93.4%	Not measured	Only Gemini 3.6 Flash measured
MMMU Pro (Vals AI)	88.4%	63.0%	Gemini 3.6 Flash
GPQA Diamond (Artificial Analysis run)	92.8%	58.8%	Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)	40.8%	4.7%	Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)	94.1%	Not measured	Only Gemini 3.6 Flash measured
ARC-AGI	91.2%	Not measured	Only Gemini 3.6 Flash measured
ARC-AGI-2	60.4%	Not measured	Only Gemini 3.6 Flash measured
Chess puzzles	42.0%	Not measured	Only Gemini 3.6 Flash measured
Mystery game puzzles	30.0%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: hard prompts	1486	1426	Gemini 3.6 Flash
LMArena Text: expert	1490	1408	Gemini 3.6 Flash
LMArena Text: hard prompts in English	1484	1435	Gemini 3.6 Flash
LMArena Vision: diagrams	1314	1175	Gemini 3.6 Flash
LMArena Vision: homework	1314	1165	Gemini 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 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
AIME	Not measured	42.3%	Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)	Not measured	87.0%	Only Mistral Medium 3.1 measured
MGSM (Vals AI)	Not measured	90.9%	Only Mistral Medium 3.1 measured
AA Math Index	Not measured	38.3	Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)	Not measured	38.3%	Only Mistral Medium 3.1 measured
OTIS Mock AIME	94.2%	Not measured	Only Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 3	58.9%	Not measured	Only Gemini 3.6 Flash measured
FrontierMath, tier 4	22.0%	Not measured	Only Gemini 3.6 Flash measured
ProofBench	36.0%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: math	1508	1408	Gemini 3.6 Flash
LMArena Text: mathematical work	1492	1412	Gemini 3.6 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 3.6 Flash and Mistral Medium 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
MMLU Pro	89.3%	75.3%	Gemini 3.6 Flash
LegalBench (Vals AI)	86.7%	62.0%	Gemini 3.6 Flash
CorpFin (Vals AI)	63.3%	50.7%	Gemini 3.6 Flash
TaxEval (Vals AI)	74.9%	70.3%	Gemini 3.6 Flash
MortgageTax (Vals AI)	67.6%	36.5%	Gemini 3.6 Flash
MedQA (Vals AI)	Not measured	78.2%	Only Mistral Medium 3.1 measured
MedCode (Vals AI)	53.1%	Not measured	Only Gemini 3.6 Flash measured
MMLU Pro (Artificial Analysis run)	Not measured	68.3%	Only Mistral Medium 3.1 measured
SimpleQA Verified	66.2%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: science	1489	1444	Gemini 3.6 Flash
LMArena Text: medicine and healthcare	1469	1449	Gemini 3.6 Flash
LMArena Text: legal and government	1479	1439	Gemini 3.6 Flash
LMArena Text: business and finance	1464	1418	Gemini 3.6 Flash
Neither model has a result on the other 4 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 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
Design Arena: websites	1301	1133	Gemini 3.6 Flash
Design Arena: UI components	1297	1099	Gemini 3.6 Flash
Design Arena: game dev	1263	1074	Gemini 3.6 Flash
Design Arena: data viz	1289	1144	Gemini 3.6 Flash
Design Arena: 3D	1272	1081	Gemini 3.6 Flash
Design Arena: all code categories	1290	1120	Gemini 3.6 Flash
Design Arena: SVG	Not measured	993	Only Mistral Medium 3.1 measured
Design Arena: ASCII art	1281	997	Gemini 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 index260

General benchmarks for Gemini 3.6 Flash and Mistral Medium 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
Public Benefits Bench (Vals AI)	56.6%	Not measured	Only Gemini 3.6 Flash measured
SAGE (Vals AI)	48.7%	Not measured	Only Gemini 3.6 Flash measured
MedScribe (Vals AI)	79.7%	Not measured	Only Gemini 3.6 Flash measured
Vals Multimodal Index	65.1%	Not measured	Only Gemini 3.6 Flash measured
IFBench	Not measured	39.8%	Only Mistral Medium 3.1 measured
Long context reasoning (AA-LCR)	80.0%	42.7%	Gemini 3.6 Flash
DTBench	95.5%	67.5%	Gemini 3.6 Flash
LMCA	44.9%	19.1%	Gemini 3.6 Flash
Furniture assembly	23.3%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text	1480	1424	Gemini 3.6 Flash
LMArena Text: instruction following	1467	1398	Gemini 3.6 Flash
LMArena Text: creative writing	1466	1391	Gemini 3.6 Flash
LMArena Vision	1299	1172	Gemini 3.6 Flash
LMArena Text: English	1482	1438	Gemini 3.6 Flash
LMArena Text: non-English	1470	1408	Gemini 3.6 Flash
LMArena Text: Chinese	1531	1447	Gemini 3.6 Flash
LMArena Text: German	1480	1432	Gemini 3.6 Flash
LMArena Text: Japanese	1475	1379	Gemini 3.6 Flash
LMArena Text: Korean	1429	1380	Gemini 3.6 Flash
LMArena Text: French	1503	1460	Gemini 3.6 Flash
LMArena Text: Spanish	1476	1433	Gemini 3.6 Flash
LMArena Text: Russian	1488	1411	Gemini 3.6 Flash
LMArena Text: Polish	1473	1430	Gemini 3.6 Flash
LMArena Text: multi-turn	1481	1418	Gemini 3.6 Flash
LMArena Text: longer queries	1475	1406	Gemini 3.6 Flash
LMArena Text: writing and language	1470	1395	Gemini 3.6 Flash
LMArena Text: entertainment and media	1456	1390	Gemini 3.6 Flash
LMArena Vision: English	1295	1179	Gemini 3.6 Flash
LMArena Vision: Chinese	1357	1190	Gemini 3.6 Flash
LMArena Vision: reading text	1312	1175	Gemini 3.6 Flash
LMArena Vision: humor	1289	1168	Gemini 3.6 Flash
LMArena Vision: captioning	Not measured	1145	Only Mistral Medium 3.1 measured
LMArena Vision: recognizing things	Not measured	1147	Only Mistral Medium 3.1 measured
LMArena Vision: creative writing	1278	1200	Gemini 3.6 Flash
LMArena Document	1456	Not measured	Only 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 3.1
Benchmark	Gemini 3.6 Flash	Mistral Medium 3.1	Leader
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 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 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 3.6 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 3.6 Flash and Mistral Medium 3.1
Specification	Google Gemini 3.6 Flash	Mistral Medium 3.1
Maker	Google	Mistral AI
Weights	No public weights listed	No public weights listed
Released	July 21, 2026	August 13, 2025
Context window	1.05M	131K
Input $/Mtok	$0.75	$0.40
Output $/Mtok	$3.75	$2.00
Coding index	62.5	Not benchmarked
Independent measurements behind it	4	0
Cost per solved task	$1.49	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.6 Flash better than Mistral Medium 3.1 for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 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 1.9x less.

Which is cheaper, Gemini 3.6 Flash or Mistral Medium 3.1?

Gemini 3.6 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 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Mistral Medium 3.1?

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

How many benchmarks is the Gemini 3.6 Flash vs Mistral Medium 3.1 comparison based on?

60 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 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

Decision reading

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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