Gemini 3.8 Flash vs Mistral Large 3 2512

Gemini 3.8 Flash leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 40.9 to 9.3, and Mistral Large 3 2512 costs 2.5x less per output token ($1.50 vs $3.75 per million). Updated October 21, 2026; 23 benchmarks have a result for both.

Replace Gemini 3.8 Flash Replace Mistral Large 3 2512

Gemini 3.8 FlashGoogle

Coding: 61.6
Overall: 69.0
Output $/M: $3.75

Mistral Large 3 2512Mistral AI

Coding: No data
Overall: No data
Output $/M: $1.50

vs boards won of 23 shared

Gemini 3.8 Flash or Mistral Large 3 2512: which to pick

Only Gemini 3.8 Flash has a coding score, 61.6 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for output tokens 2.5x cheaper ($1.50 vs $3.75 per million) and a lower cost per solved task ($0.77 against $2.74).

Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved task Model BMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved task

231055

Shared results: 23
Gemini 3.8 Flash only: 105
Mistral Large 3 2512 only: 5
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Gemini 3.8 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.9 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.2 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 68.4%.
Same board, both measured
Math
AIME
No call
Only Mistral Large 3 2512 has a AIME result, 42.9%.
Directional only
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 79.8%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 1300 against 1162.
Same board, both measured
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
Gemini 3.8 Flash
Gemini 3.8 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 3 2512
Gemini 3.8 Flash $0.0026, Mistral Large 3 2512 $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Mistral Large 3 2512
Gemini 3.8 Flash $2.74, Mistral Large 3 2512 $0.77.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.8 Flash 61.6 from 6 benchmarks, Mistral Large 3 2512 not benchmarked.
Widest category: Coding, 40.6 points apart on average over 4 shared benchmarks.
Widest single gap: AA Coding Index: Gemini 3.8 Flash 76.3 against Mistral Large 3 2512 20.1, 56.2 points apart on a 0 to 100 scale.
Output price: Gemini 3.8 Flash $3.75 against Mistral Large 3 2512 $1.50 per million output tokens, 2.5x apart.
Context window: Gemini 3.8 Flash takes 1.05M tokens, Mistral Large 3 2512 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
Category	Gemini 3.8 Flash	Bars	Mistral Large 3 2512	Ties
Coding	4		0
Intelligence	1		0
Agentic work	1		0
Reasoning	2		0
Knowledge	4		0
Web design	8		0
General	3		0
All shared boards	23		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index40

Coding benchmarks for Gemini 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
LiveBench coding	82.2%	Not measured	Only Gemini 3.8 Flash measured
LMArena WebDev	1585	Not measured	Only Gemini 3.8 Flash measured
AA Coding Index	76.3	20.1	Gemini 3.8 Flash
LiveCodeBench (Vals AI)	89.5%	55.3%	Gemini 3.8 Flash
SWE-bench Verified (Vals AI)	80.0%	41.4%	Gemini 3.8 Flash
Terminal-Bench 4 (Vals AI)	19.7%	Not measured	Only Gemini 3.8 Flash measured
Vibe Code Bench (Vals AI)	78.7%	Not measured	Only Gemini 3.8 Flash measured
Code migration (Vals AI)	36.5%	Not measured	Only Gemini 3.8 Flash measured
ProgramBench (Vals AI)	1.0%	Not measured	Only Gemini 3.8 Flash measured
IOI (Vals AI)	56.9%	Not measured	Only Gemini 3.8 Flash measured
Terminal-Bench 2.1 (Vals AI)	81.3%	Not measured	Only Gemini 3.8 Flash measured
SWE-bench Multimodal (Vals AI)	40.8%	Not measured	Only Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)	18.8%	Not measured	Only Gemini 3.8 Flash measured
SkillsBench (Vals AI)	58.0%	Not measured	Only Gemini 3.8 Flash measured
CyberBench (Vals AI)	43.8%	Not measured	Only Gemini 3.8 Flash measured
SciCode	56.6%	Not measured	Only Gemini 3.8 Flash measured
FrontierCode	41.2%	Not measured	Only Gemini 3.8 Flash measured
FrontierSWE	19.6%	Not measured	Only Gemini 3.8 Flash measured
WeirdML	84.8%	Not measured	Only Gemini 3.8 Flash measured
ALE-Bench	1269.7	264.7	Gemini 3.8 Flash
LMArena Text: coding	1508	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: software and IT	1507	Not measured	Only Gemini 3.8 Flash measured
LMArena WebDev: React	1577	Not measured	Only Gemini 3.8 Flash measured
LMArena WebDev: HTML	1616	Not measured	Only Gemini 3.8 Flash measured
LMArena WebDev: from an image	1593	Not measured	Only Gemini 3.8 Flash measured
SciCode	12.3%	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here

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

Intelligence benchmarks for Gemini 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
AA Intelligence Index	40.9	9.3	Gemini 3.8 Flash
Epoch Capabilities Index	157.4	Not measured	Only Gemini 3.8 Flash measured

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

Agentic work benchmarks for Gemini 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
AA Agentic Index	40.2	1.0	Gemini 3.8 Flash
Design Arena: agents building web apps	1238	Not measured	Only Gemini 3.8 Flash measured
Design Arena: agents building full-stack apps	1244	Not measured	Only Gemini 3.8 Flash measured
Design Arena: agents building mobile apps	1236	Not measured	Only Gemini 3.8 Flash measured
Design Arena: agents building Android apps	1074	Not measured	Only Gemini 3.8 Flash measured
Design Arena: agents building Godot games	1273	Not measured	Only Gemini 3.8 Flash measured
Design Arena: PowerPoint slides	1177	Not measured	Only Gemini 3.8 Flash measured
Design Arena: spreadsheets	1056	Not measured	Only Gemini 3.8 Flash measured
LiveBench research	79.1%	Not measured	Only Gemini 3.8 Flash measured
LiveBench browser	64.0%	Not measured	Only Gemini 3.8 Flash measured
LiveBench long agentic	30.1%	Not measured	Only Gemini 3.8 Flash measured
SREBench (Vals AI)	11.1%	Not measured	Only Gemini 3.8 Flash measured
Finance Agent (Vals AI)	61.4%	Not measured	Only Gemini 3.8 Flash measured
Tax Agent Bench (Vals AI)	32.1%	Not measured	Only Gemini 3.8 Flash measured
Legal Research Bench (Vals AI)	38.9%	Not measured	Only Gemini 3.8 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)	12.1%	Not measured	Only Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)	72.2%	Not measured	Only Gemini 3.8 Flash measured
BioMysteryBench (Vals AI)	62.2%	Not measured	Only Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)	8.6%	Not measured	Only Gemini 3.8 Flash measured
Vals Science Index	35.8%	Not measured	Only Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)	18.8%	Not measured	Only Gemini 3.8 Flash measured
CUA-bench (Vals AI)	4.2%	Not measured	Only Gemini 3.8 Flash measured
APEX-Agents	64.3%	Not measured	Only Gemini 3.8 Flash measured
Remote Labor Index	5.8%	Not measured	Only Gemini 3.8 Flash measured
Vending-Bench 2	$5,094	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 16 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index20

Reasoning benchmarks for Gemini 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
GPQA Diamond	94.4%	68.4%	Gemini 3.8 Flash
LiveBench reasoning	89.3%	Not measured	Only Gemini 3.8 Flash measured
MysteryMechanism (Vals AI)	36.5%	Not measured	Only Gemini 3.8 Flash measured
MMMU Pro (Vals AI)	89.1%	66.2%	Gemini 3.8 Flash
GPQA Diamond (Artificial Analysis run)	95.3%	Not measured	Only Gemini 3.8 Flash measured
Humanity's Last Exam (Artificial Analysis run)	47.8%	Not measured	Only Gemini 3.8 Flash measured
GPQA Diamond (Epoch AI run)	95.4%	Not measured	Only Gemini 3.8 Flash measured
ARC-AGI	98.5%	Not measured	Only Gemini 3.8 Flash measured
ARC-AGI-2	89.2%	Not measured	Only Gemini 3.8 Flash measured
Chess puzzles	58.0%	Not measured	Only Gemini 3.8 Flash measured
Mystery game puzzles	47.0%	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: hard prompts	1509	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: expert	1526	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: hard prompts in English	1504	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: diagrams	1345	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: homework	1351	Not measured	Only Gemini 3.8 Flash measured
Neither model has a result on the other 6 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Math benchmarks for Gemini 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
AIME	Not measured	42.9%	Only Mistral Large 3 2512 measured
MGSM (Vals AI)	Not measured	85.4%	Only Mistral Large 3 2512 measured
OTIS Mock AIME	98.9%	Not measured	Only Gemini 3.8 Flash measured
FrontierMath, tiers 1 to 3	68.4%	Not measured	Only Gemini 3.8 Flash measured
FrontierMath, tier 4	22.0%	Not measured	Only Gemini 3.8 Flash measured
ProofBench	48.0%	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: math	1532	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: mathematical work	1519	Not measured	Only Gemini 3.8 Flash measured
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 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
MMLU Pro	90.2%	79.8%	Gemini 3.8 Flash
LegalBench (Vals AI)	87.0%	79.1%	Gemini 3.8 Flash
CaseLaw (Vals AI)	Not measured	61.4%	Only Mistral Large 3 2512 measured
CorpFin (Vals AI)	Not measured	61.0%	Only Mistral Large 3 2512 measured
TaxEval (Vals AI)	74.5%	73.1%	Gemini 3.8 Flash
MortgageTax (Vals AI)	65.3%	52.1%	Gemini 3.8 Flash
MedQA (Vals AI)	Not measured	82.2%	Only Mistral Large 3 2512 measured
MedCode (Vals AI)	48.1%	Not measured	Only Gemini 3.8 Flash measured
SimpleQA Verified	69.7%	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: science	1523	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: medicine and healthcare	1508	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: legal and government	1497	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: business and finance	1479	Not measured	Only Gemini 3.8 Flash measured
FACTS Benchmark Suite	69.4%	Not measured	Only Gemini 3.8 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 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
Design Arena: websites	1300	1162	Gemini 3.8 Flash
Design Arena: UI components	1319	1102	Gemini 3.8 Flash
Design Arena: game dev	1305	1080	Gemini 3.8 Flash
Design Arena: data viz	1269	1136	Gemini 3.8 Flash
Design Arena: 3D	1295	1100	Gemini 3.8 Flash
Design Arena: all code categories	1304	1142	Gemini 3.8 Flash
Design Arena: SVG	1295	993	Gemini 3.8 Flash
Design Arena: ASCII art	1265	1069	Gemini 3.8 Flash
LiveBench design	72.7%	Not measured	Only Gemini 3.8 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index30

General benchmarks for Gemini 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	Leader
Vals Index	56.0%	Not measured	Only Gemini 3.8 Flash measured
LiveBench data analysis	54.0%	Not measured	Only Gemini 3.8 Flash measured
Public Benefits Bench (Vals AI)	65.3%	Not measured	Only Gemini 3.8 Flash measured
SAGE (Vals AI)	35.1%	24.6%	Gemini 3.8 Flash
MedScribe (Vals AI)	84.5%	Not measured	Only Gemini 3.8 Flash measured
Long context reasoning (AA-LCR)	84.0%	Not measured	Only Gemini 3.8 Flash measured
DTBench	95.7%	65.1%	Gemini 3.8 Flash
LMCA	52.9%	16.7%	Gemini 3.8 Flash
Surface Evolver Bench	76.9%	Not measured	Only Gemini 3.8 Flash measured
Furniture assembly	31.7%	Not measured	Only Gemini 3.8 Flash measured
LMArena Text	1499	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: instruction following	1492	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: creative writing	1488	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision	1315	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: English	1498	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: non-English	1491	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Chinese	1553	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: German	1501	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Japanese	1507	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Korean	1464	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: French	1496	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Spanish	1487	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Russian	1514	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: Polish	1497	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: multi-turn	1503	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: longer queries	1507	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: writing and language	1494	Not measured	Only Gemini 3.8 Flash measured
LMArena Text: entertainment and media	1480	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: English	1318	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: Chinese	1416	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: reading text	1333	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: humor	1321	Not measured	Only Gemini 3.8 Flash measured
LMArena Vision: creative writing	1299	Not measured	Only Gemini 3.8 Flash measured
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 3.8 Flash and Mistral Large 3 2512
Benchmark	Gemini 3.8 Flash	Mistral Large 3 2512	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 3.8 Flash$0.0026Fits in one request

Mistral Large 3 2512$0.0013Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.049Fits in one request

Mistral Large 3 2512$0.029Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits in one request

Mistral Large 3 2512$0.115Fits in one request

Mistral Large 3 2512 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 3.8 Flash and Mistral Large 3 2512
Specification	Google Gemini 3.8 Flash	Mistral Large 3 2512
Maker	Google	Mistral AI
Weights	No public weights listed	No public weights listed
Released	September 2, 2026	December 1, 2025
Context window	1.05M	262K
Input $/Mtok	$0.75	$0.50
Output $/Mtok	$3.75	$1.50
Coding index	61.6	Not benchmarked
Independent measurements behind it	6	1
Cost per solved task	$2.74	$0.77
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.8 Flash better than Mistral Large 3 2512 for coding?

Only Gemini 3.8 Flash has a coding score, 61.6 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 2.5x cheaper ($1.50 vs $3.75 per million) and a lower cost per solved task ($0.77 against $2.74).

Which is cheaper, Gemini 3.8 Flash or Mistral Large 3 2512?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, Gemini 3.8 Flash or Mistral Large 3 2512?

Gemini 3.8 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.8 Flash vs Mistral Large 3 2512 comparison based on?

23 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and Mistral Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

Gemini 3.8 Flash or Mistral Large 3 2512: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

General

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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