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Gemini 2.5 Pro vs Mistral Medium 3.5

Mistral Medium 3.5 leads Gemini 2.5 Pro on coding, 25.5 to 19.1 on the Vibe Coding Index, and Mistral Medium 3.5 costs 1.3x less per output token ($7.50 vs $10.00 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Mistral Medium 3.5
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
54
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
11
vs boards won of 65 shared

Gemini 2.5 Pro or Mistral Medium 3.5: which to pick

Pick Mistral Medium 3.5 for coding: it scores 25.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $6.02) and a larger context window (1.05M against 262K tokens).

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
65
Gemini 2.5 Pro only
25
Mistral Medium 3.5 only
16
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 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 22.7 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Pro 54.1% against Mistral Medium 3.5 94.2%, 40.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Mistral Medium 3.5 $7.50 per million output tokens, 1.3x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Mistral Medium 3.5 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
CategoryGemini 2.5 ProBarsMistral Medium 3.5Ties
Coding27
Intelligence20
Agentic work02
Reasoning80
Math20
Knowledge80
Web design60
General262
All shared boards5411
CodingLike-for-likeSix of these boards feed the Vibe Coding Index27
Coding benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev12261264Mistral Medium 3.5
AA Coding Index33.346.9Mistral Medium 3.5
SWE-bench Verified (Vals AI)54.4%66.4%Mistral Medium 3.5
Vibe Code Bench (Vals AI)0.4%2.9%Mistral Medium 3.5
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%40.2%Gemini 2.5 Pro
Terminal-Bench Hard (Artificial Analysis run)26.5%33.3%Mistral Medium 3.5
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 measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding14521460Mistral Medium 3.5
LMArena Text: software and IT14591458Gemini 2.5 Pro
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTML12351308Mistral Medium 3.5
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
AA Intelligence Index16.114.2Gemini 2.5 Pro
Epoch Capabilities Index145.1141.4Gemini 2.5 Pro
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
AA Agentic Index1.67.0Mistral Medium 3.5
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom54.1%94.2%Mistral Medium 3.5
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
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)84.4%74.8%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%13.8%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 prompts14551436Gemini 2.5 Pro
LMArena Text: expert14521432Gemini 2.5 Pro
LMArena Text: hard prompts in English14531445Gemini 2.5 Pro
LMArena Vision: diagrams12741254Gemini 2.5 Pro
LMArena Vision: homework12811230Gemini 2.5 Pro
Kagi LLM Benchmark70.3%41.4%Gemini 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 index20
Math benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
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
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math14501431Gemini 2.5 Pro
LMArena Text: mathematical work14541440Gemini 2.5 Pro
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)63.9%44.2%Gemini 2.5 Pro
CorpFin (Vals AI)60.8%58.8%Gemini 2.5 Pro
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)68.9%28.9%Gemini 2.5 Pro
MedCode (Vals AI)50.6%33.8%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science14801428Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761409Gemini 2.5 Pro
LMArena Text: legal and government14801437Gemini 2.5 Pro
LMArena Text: business and finance14391426Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
Design Arena: websites11671142Gemini 2.5 Pro
Design Arena: UI components11371076Gemini 2.5 Pro
Design Arena: game dev11111079Gemini 2.5 Pro
Design Arena: data viz12221120Gemini 2.5 Pro
Design Arena: 3D10801060Gemini 2.5 Pro
Design Arena: all code categories11521121Gemini 2.5 Pro
Design Arena: SVGNot measured949Only Mistral Medium 3.5 measured
Design Arena: ASCII artNot measured1062Only Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index262
General benchmarks for Gemini 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
SAGE (Vals AI)41.9%37.6%Gemini 2.5 Pro
MedScribe (Vals AI)73.5%67.7%Gemini 2.5 Pro
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench48.7%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)69.0%69.3%Mistral Medium 3.5
DTBench82.4%75.5%Gemini 2.5 Pro
LMCA34.8%26.1%Gemini 2.5 Pro
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14581421Gemini 2.5 Pro
LMArena Text: instruction following14371415Gemini 2.5 Pro
LMArena Text: creative writing14541374Gemini 2.5 Pro
LMArena Vision12631222Gemini 2.5 Pro
LMArena Text: English14581433Gemini 2.5 Pro
LMArena Text: non-English14521404Gemini 2.5 Pro
LMArena Text: Chinese15071444Gemini 2.5 Pro
LMArena Text: German14871453Gemini 2.5 Pro
LMArena Text: Japanese1461Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: Korean14341384Gemini 2.5 Pro
LMArena Text: French14731448Gemini 2.5 Pro
LMArena Text: Spanish14741411Gemini 2.5 Pro
LMArena Text: Russian14611395Gemini 2.5 Pro
LMArena Text: Polish14791430Gemini 2.5 Pro
LMArena Text: multi-turn14531423Gemini 2.5 Pro
LMArena Text: longer queries14491415Gemini 2.5 Pro
LMArena Text: writing and language14541384Gemini 2.5 Pro
LMArena Text: entertainment and media14411382Gemini 2.5 Pro
LMArena Vision: English12611240Gemini 2.5 Pro
LMArena Vision: Chinese13001244Gemini 2.5 Pro
LMArena Vision: reading text12701233Gemini 2.5 Pro
LMArena Vision: humor12621216Gemini 2.5 Pro
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651198Gemini 2.5 Pro
LMArena Document1421Not measuredOnly Gemini 2.5 Pro 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 2.5 Pro and Mistral Medium 3.5
BenchmarkGemini 2.5 ProMistral Medium 3.5Leader
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 3.5$0.0053Fits in one request

Mistral Medium 3.5 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Gemini 2.5 Pro costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Mistral Medium 3.5$0.375Fits in one request

Gemini 2.5 Pro 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 3.5
SpecificationGoogle Gemini 2.5 ProMistral Medium 3.5
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025April 30, 2026
Context window1.05M262K
Input $/Mtok$1.25$1.50
Output $/Mtok$10.00$7.50
Coding index19.125.5
Independent measurements behind it33
Cost per solved task$0.64$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Mistral Medium 3.5 for coding?

Pick Mistral Medium 3.5 for coding: it scores 25.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a lower cost per solved task ($0.64 against $6.02) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemini 2.5 Pro or Mistral Medium 3.5?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Gemini 2.5 Pro or Mistral Medium 3.5?

Gemini 2.5 Pro, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Pro vs Mistral Medium 3.5 comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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