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GPT-5 vs Mistral Medium 3.5

GPT-5 leads Mistral Medium 3.5 on coding, 38.8 to 25.5 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; 70 benchmarks have a result for both.

Replace GPT-5 Replace Mistral Medium 3.5
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
43
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
27
vs boards won of 70 shared

GPT-5 or Mistral Medium 3.5: which to pick

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for output tokens 1.3x cheaper ($7.50 vs $10.00 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
70
GPT-5 only
43
Mistral Medium 3.5 only
11
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
GPT-5 38.8 from 3 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Reasoning, 14.0 points apart on average over 9 shared benchmarks.
Widest single gap
GPQA Diamond: GPT-5 85.6% against Mistral Medium 3.5 34.9%, 50.8 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Mistral Medium 3.5 $7.50 per million output tokens, 1.3x apart.
Context window
GPT-5 takes 400K 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
CategoryGPT-5BarsMistral Medium 3.5Ties
Coding63
Intelligence20
Agentic work01
Reasoning54
Math12
Knowledge73
Web design71
General1513
All shared boards4327
CodingLike-for-likeSix of these boards feed the Vibe Coding Index63
Coding benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181264GPT-5
AA Coding Index37.846.9Mistral Medium 3.5
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%66.4%GPT-5
Vibe Code Bench (Vals AI)20.1%2.9%GPT-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)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%33.3%GPT-5
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6764.0GPT-5
LMArena Text: coding14361460Mistral Medium 3.5
LMArena Text: software and IT14201458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTML14271308GPT-5
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
AA Intelligence Index23.014.2GPT-5
Epoch Capabilities Index150.0141.4GPT-5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
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 Telecom86.5%94.2%Mistral Medium 3.5
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
GPQA Diamond85.6%34.9%GPT-5
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%74.8%GPT-5
Humanity's Last Exam (Artificial Analysis run)28.5%13.8%GPT-5
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151436Mistral Medium 3.5
LMArena Text: expert14191432Mistral Medium 3.5
LMArena Text: hard prompts in English14191445Mistral Medium 3.5
LMArena Vision: diagrams12521254Mistral Medium 3.5
LMArena Vision: homework12781230GPT-5
Kagi LLM Benchmark72.7%41.4%GPT-5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%9.0%GPT-5
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071431Mistral Medium 3.5
LMArena Text: mathematical work14051440Mistral Medium 3.5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
Knowledge benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
MMLU Pro86.5%75.3%GPT-5
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%44.2%GPT-5
CorpFin (Vals AI)61.1%58.8%GPT-5
TaxEval (Vals AI)73.4%68.0%GPT-5
MortgageTax (Vals AI)65.5%28.9%GPT-5
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%33.8%GPT-5
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161428Mistral Medium 3.5
LMArena Text: medicine and healthcare14131409GPT-5
LMArena Text: legal and government14311437Mistral Medium 3.5
LMArena Text: business and finance14001426Mistral Medium 3.5
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index71
Web design benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
Design Arena: websites11841142GPT-5
Design Arena: UI components11771076GPT-5
Design Arena: game dev11851079GPT-5
Design Arena: data viz12221121GPT-5
Design Arena: 3D10551060Mistral Medium 3.5
Design Arena: all code categories11671121GPT-5
Design Arena: SVG1188949GPT-5
Design Arena: ASCII art11411062GPT-5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1513
General benchmarks for GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral Medium 3.5Leader
SAGE (Vals AI)43.7%37.6%GPT-5
MedScribe (Vals AI)83.7%67.7%GPT-5
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench73.1%68.8%GPT-5
Long context reasoning (AA-LCR)78.2%69.3%GPT-5
DTBench90.7%75.5%GPT-5
LMCA40.0%26.1%GPT-5
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14061421Mistral Medium 3.5
LMArena Text: instruction following13881415Mistral Medium 3.5
LMArena Text: creative writing13651374Mistral Medium 3.5
LMArena Vision12321222GPT-5
LMArena Text: English14091433Mistral Medium 3.5
LMArena Text: non-English13971404Mistral Medium 3.5
LMArena Text: Chinese14221444Mistral Medium 3.5
LMArena Text: German14161453Mistral Medium 3.5
LMArena Text: Japanese1409Not measuredOnly GPT-5 measured
LMArena Text: Korean13601384Mistral Medium 3.5
LMArena Text: French14091448Mistral Medium 3.5
LMArena Text: Spanish13991411Mistral Medium 3.5
LMArena Text: Russian14071395GPT-5
LMArena Text: Polish14311430GPT-5
LMArena Text: multi-turn14261423GPT-5
LMArena Text: longer queries13991415Mistral Medium 3.5
LMArena Text: writing and language13841384GPT-5
LMArena Text: entertainment and media13791382Mistral Medium 3.5
LMArena Vision: English12311240Mistral Medium 3.5
LMArena Vision: Chinese12671244GPT-5
LMArena Vision: reading text12461233GPT-5
LMArena Vision: humor12191216GPT-5
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing12101198GPT-5
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 GPT-5 and Mistral Medium 3.5
BenchmarkGPT-5Mistral 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

GPT-5$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

GPT-5$0.092Fits in one request
Mistral Medium 3.5$0.098Fits in one request

GPT-5 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Mistral Medium 3.5$0.375Fits in one request

GPT-5 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 GPT-5 and Mistral Medium 3.5
SpecificationOpenAI GPT-5Mistral Medium 3.5
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025April 30, 2026
Context window400K262K
Input $/Mtok$1.25$1.50
Output $/Mtok$10.00$7.50
Coding index38.825.5
Independent measurements behind it33
Cost per solved task$0.39$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Mistral Medium 3.5 for coding?

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for output tokens 1.3x cheaper ($7.50 vs $10.00 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, GPT-5 or Mistral Medium 3.5?

GPT-5 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, GPT-5 costs $0.39 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, GPT-5 or Mistral Medium 3.5?

GPT-5, with 400K tokens against 262K.

How many benchmarks is the GPT-5 vs Mistral Medium 3.5 comparison based on?

70 benchmarks have a result for both models as of October 22, 2026. GPT-5'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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