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Gemini 2.5 Pro vs Mistral Medium 3.1

Gemini 2.5 Pro leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 16.1 to 9.2, and Mistral Medium 3.1 costs 5.0x less per output token ($2.00 vs $10.00 per million). Updated October 21, 2026; 62 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Mistral Medium 3.1
Gemini 2.5 ProGoogle
Coding
19.1
Overall
16.1
Output $/M
$10.00
60
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
1
vs boards won of 62 shared, 1 tied

Gemini 2.5 Pro or Mistral Medium 3.1: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for output tokens 5.0x cheaper ($2.00 vs $10.00 per million) and work measured by AA Agentic Index, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
62
Gemini 2.5 Pro only
25
Mistral Medium 3.1 only
12
Like-for-like categories
8 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.

At a glance

Coding index
Gemini 2.5 Pro 19.1 from 3 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Math, 28.2 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Gemini 2.5 Pro 87.7 against Mistral Medium 3.1 38.3, 49.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Mistral Medium 3.1 $2.00 per million output tokens, 5.0x apart.
Context window
Gemini 2.5 Pro 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
CategoryGemini 2.5 ProBarsMistral Medium 3.1Ties
Coding60
Intelligence10
Agentic work11
Reasoning70
Math40
Knowledge70
Web design501 tie
General290
All shared boards6011 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.320.5Gemini 2.5 Pro
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%40.6%Gemini 2.5 Pro
SciCode46.3%32.4%Gemini 2.5 Pro
Terminal-Bench Hard (Artificial Analysis run)26.5%10.6%Gemini 2.5 Pro
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14521433Gemini 2.5 Pro
LMArena Text: software and IT14591436Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
AA Intelligence Index16.19.2Gemini 2.5 Pro
Epoch Capabilities Index145.1Not measuredOnly Gemini 2.5 Pro measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
AA Agentic Index1.61.9Mistral Medium 3.1
τ²-Bench Telecom54.1%40.6%Gemini 2.5 Pro
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)84.4%58.8%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%4.7%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551426Gemini 2.5 Pro
LMArena Text: expert14521408Gemini 2.5 Pro
LMArena Text: hard prompts in English14531435Gemini 2.5 Pro
LMArena Vision: diagrams12741175Gemini 2.5 Pro
LMArena Vision: homework12811165Gemini 2.5 Pro
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math Index87.738.3Gemini 2.5 Pro
AIME 2025 (Artificial Analysis run)87.7%38.3%Gemini 2.5 Pro
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501408Gemini 2.5 Pro
LMArena Text: mathematical work14541412Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%50.7%Gemini 2.5 Pro
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)68.9%36.5%Gemini 2.5 Pro
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%68.3%Gemini 2.5 Pro
LMArena Text: science14801444Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761449Gemini 2.5 Pro
LMArena Text: legal and government14801439Gemini 2.5 Pro
LMArena Text: business and finance14391418Gemini 2.5 Pro
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
Design Arena: websites11671133Gemini 2.5 Pro
Design Arena: UI components11401100Gemini 2.5 Pro
Design Arena: game dev11111074Gemini 2.5 Pro
Design Arena: data viz12211144Gemini 2.5 Pro
Design Arena: 3D10811081Tie
Design Arena: all code categories11521120Gemini 2.5 Pro
Design Arena: SVGNot measured993Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for Gemini 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%39.8%Gemini 2.5 Pro
Long context reasoning (AA-LCR)69.0%42.7%Gemini 2.5 Pro
DTBench82.4%67.5%Gemini 2.5 Pro
LMCA34.8%19.1%Gemini 2.5 Pro
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581424Gemini 2.5 Pro
LMArena Text: instruction following14371398Gemini 2.5 Pro
LMArena Text: creative writing14541391Gemini 2.5 Pro
LMArena Vision12631172Gemini 2.5 Pro
LMArena Text: English14581438Gemini 2.5 Pro
LMArena Text: non-English14521408Gemini 2.5 Pro
LMArena Text: Chinese15071447Gemini 2.5 Pro
LMArena Text: German14871432Gemini 2.5 Pro
LMArena Text: Japanese14611379Gemini 2.5 Pro
LMArena Text: Korean14341380Gemini 2.5 Pro
LMArena Text: French14731460Gemini 2.5 Pro
LMArena Text: Spanish14741433Gemini 2.5 Pro
LMArena Text: Russian14611411Gemini 2.5 Pro
LMArena Text: Polish14791430Gemini 2.5 Pro
LMArena Text: multi-turn14531418Gemini 2.5 Pro
LMArena Text: longer queries14491406Gemini 2.5 Pro
LMArena Text: writing and language14541395Gemini 2.5 Pro
LMArena Text: entertainment and media14411390Gemini 2.5 Pro
LMArena Vision: English12611179Gemini 2.5 Pro
LMArena Vision: Chinese13001190Gemini 2.5 Pro
LMArena Vision: reading text12701175Gemini 2.5 Pro
LMArena Vision: humor12621168Gemini 2.5 Pro
LMArena Vision: captioning13041145Gemini 2.5 Pro
LMArena Vision: recognizing things12831147Gemini 2.5 Pro
LMArena Vision: creative writing12651200Gemini 2.5 Pro
LMArena Document1421Not measuredOnly Gemini 2.5 Pro 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 2.5 Pro and Mistral Medium 3.1
BenchmarkGemini 2.5 ProMistral Medium 3.1Leader
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$0.0063Fits 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 2.5 Pro$0.092Fits 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 2.5 Pro$0.350Fits 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 2.5 Pro and Mistral Medium 3.1
SpecificationGoogle Gemini 2.5 ProMistral Medium 3.1
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025August 13, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.40
Output $/Mtok$10.00$2.00
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Mistral Medium 3.1 for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for output tokens 5.0x cheaper ($2.00 vs $10.00 per million) and work measured by AA Agentic Index, where it leads.

Which is cheaper, Gemini 2.5 Pro or Mistral Medium 3.1?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or Mistral Medium 3.1?

Gemini 2.5 Pro, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Pro vs Mistral Medium 3.1 comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 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.

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