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Gemini 2.5 Pro Preview 06-05 vs Mistral Large 4

Updated October 21, 2026. 2 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 Pro Preview 06-05Google
Coding
83.1
Overall
No data
Output $/M
$10.00
0
Mistral Large 4Mistral AI
Coding
55.3
Overall
38.4
Output $/M
$4.18
2
vs boards won of 2 shared

Decision reading

Gemini 2.5 Pro Preview 06-05 scores 83.1 and Mistral Large 4 55.3 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.

Pick Mistral Large 4 when output tokens cost 2.4x less, or when what matters is Humanity's Last Exam (Artificial Analysis run) or GPQA Diamond (Epoch AI run), where it leads.

Shared results
2
Gemini 2.5 Pro Preview 06-05 only
12
Mistral Large 4 only
79
Like-for-like categories
1 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 2.5 Pro Preview 06-05 83.1 from 1 benchmark, Mistral Large 4 55.3 from 2 benchmarks.
Widest category
Reasoning, 9.2 points apart on average over 2 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 19.9% against Mistral Large 4 35.0%, 15.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Mistral Large 4 $4.18 per million output tokens, 2.4x apart.
Context window
Both take 1.05M tokens.

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 2.5 Pro Preview 06-05BarsMistral Large 4Ties
Reasoning02
All shared boards02
CodingDirectional onlyFour of these boards feed the Vibe Coding Index19 boards, none shared
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDevNot measured1543Only Mistral Large 4 measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)Not measured78.4%Only Mistral Large 4 measured
Code migration (Vals AI)Not measured30.6%Only Mistral Large 4 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCodeNot measured54.2%Only Mistral Large 4 measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: codingNot measured1478Only Mistral Large 4 measured
LMArena Text: software and ITNot measured1467Only Mistral Large 4 measured
LMArena WebDev: ReactNot measured1559Only Mistral Large 4 measured
LMArena WebDev: HTMLNot measured1487Only Mistral Large 4 measured
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
AA Intelligence IndexNot measured38.4Only Mistral Large 4 measured
Epoch Capabilities IndexNot measured150.0Only Mistral Large 4 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)Not measured54.7%Only Mistral Large 4 measured
Tax Agent Bench (Vals AI)Not measured30.4%Only Mistral Large 4 measured
Legal Research Bench (Vals AI)Not measured31.7%Only Mistral Large 4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)Not measured56.2%Only Mistral Large 4 measured
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
GPQA Diamond (Artificial Analysis run)83.6%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Humanity's Last Exam (Artificial Analysis run)19.9%35.0%Mistral Large 4
GPQA Diamond (Epoch AI run)84.8%88.1%Mistral Large 4
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Chess puzzlesNot measured33.0%Only Mistral Large 4 measured
Mystery game puzzlesNot measured17.0%Only Mistral Large 4 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1444Only Mistral Large 4 measured
LMArena Text: expertNot measured1444Only Mistral Large 4 measured
LMArena Text: hard prompts in EnglishNot measured1442Only Mistral Large 4 measured
LMArena Vision: diagramsNot measured1288Only Mistral Large 4 measured
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
OTIS Mock AIMENot measured98.3%Only Mistral Large 4 measured
FrontierMath, tiers 1 to 3Not measured58.6%Only Mistral Large 4 measured
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBenchNot measured10.0%Only Mistral Large 4 measured
LMArena Text: mathNot measured1469Only Mistral Large 4 measured
LMArena Text: mathematical workNot measured1462Only Mistral Large 4 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: scienceNot measured1448Only Mistral Large 4 measured
LMArena Text: medicine and healthcareNot measured1433Only Mistral Large 4 measured
LMArena Text: legal and governmentNot measured1425Only Mistral Large 4 measured
LMArena Text: business and financeNot measured1439Only Mistral Large 4 measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
Design Arena: websitesNot measured1258Only Mistral Large 4 measured
Design Arena: UI componentsNot measured1275Only Mistral Large 4 measured
Design Arena: game devNot measured1226Only Mistral Large 4 measured
Design Arena: data vizNot measured1274Only Mistral Large 4 measured
Design Arena: 3DNot measured1253Only Mistral Large 4 measured
Design Arena: all code categoriesNot measured1259Only Mistral Large 4 measured
Design Arena: SVGNot measured1232Only Mistral Large 4 measured
Design Arena: ASCII artNot measured1203Only Mistral Large 4 measured
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
MedScribe (Vals AI)Not measured80.4%Only Mistral Large 4 measured
Long context reasoning (AA-LCR)Not measured81.3%Only Mistral Large 4 measured
DTBenchNot measured88.2%Only Mistral Large 4 measured
LMCANot measured35.8%Only Mistral Large 4 measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena TextNot measured1431Only Mistral Large 4 measured
LMArena Text: instruction followingNot measured1422Only Mistral Large 4 measured
LMArena Text: creative writingNot measured1363Only Mistral Large 4 measured
LMArena VisionNot measured1272Only Mistral Large 4 measured
LMArena Text: EnglishNot measured1433Only Mistral Large 4 measured
LMArena Text: non-EnglishNot measured1422Only Mistral Large 4 measured
LMArena Text: ChineseNot measured1492Only Mistral Large 4 measured
LMArena Text: JapaneseNot measured1415Only Mistral Large 4 measured
LMArena Text: FrenchNot measured1492Only Mistral Large 4 measured
LMArena Text: SpanishNot measured1455Only Mistral Large 4 measured
LMArena Text: RussianNot measured1417Only Mistral Large 4 measured
LMArena Text: multi-turnNot measured1435Only Mistral Large 4 measured
LMArena Text: longer queriesNot measured1428Only Mistral Large 4 measured
LMArena Text: writing and languageNot measured1386Only Mistral Large 4 measured
LMArena Text: entertainment and mediaNot measured1378Only Mistral Large 4 measured
LMArena Vision: EnglishNot measured1283Only Mistral Large 4 measured
LMArena Vision: reading textNot measured1284Only Mistral Large 4 measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Large 4
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Large 4Leader
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 2.5 Pro Preview 06-05$0.0063Fits in one request
Mistral Large 4$0.0034Fits in one request

Mistral Large 4 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Mistral Large 4$0.081Fits in one request

Mistral Large 4 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Mistral Large 4$0.314Fits in one request

Mistral Large 4 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 2.5 Pro Preview 06-05 and Mistral Large 4
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Mistral Large 4
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 5, 2025October 6, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$1.36
Output $/Mtok$10.00$4.18
Coding index83.155.3
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Mistral Large 4 for coding?

Gemini 2.5 Pro Preview 06-05 scores 83.1 and Mistral Large 4 55.3 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Mistral Large 4 when output tokens cost 2.4x less, or when what matters is Humanity's Last Exam (Artificial Analysis run) or GPQA Diamond (Epoch AI run), where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Mistral Large 4?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Mistral Large 4 comparison based on?

2 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 1 independent benchmark and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.

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