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GPT-5 Mini vs Mistral Medium 3.5

GPT-5 Mini leads Mistral Medium 3.5 on coding, 34.2 to 25.5 on the Vibe Coding Index, and GPT-5 Mini costs 3.8x less per output token ($2.00 vs $7.50 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace GPT-5 Mini Replace Mistral Medium 3.5
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
24
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
41
vs boards won of 67 shared, 2 tied

GPT-5 Mini or Mistral Medium 3.5: which to pick

Pick GPT-5 Mini for coding: it scores 34.2 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5, though on 2 benchmarks against 3.

Pick Mistral Medium 3.5 for work measured by SWE-bench Verified (Vals AI) or SciCode, where it leads.

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
67
GPT-5 Mini only
34
Mistral Medium 3.5 only
14
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 Mini 34.2 from 2 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 23.1 points apart on average over 1 shared benchmark.
Widest single gap
GPQA Diamond: GPT-5 Mini 80.3% against Mistral Medium 3.5 34.9%, 45.4 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Mistral Medium 3.5 $7.50 per million output tokens, 3.8x apart.
Context window
GPT-5 Mini 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-5 MiniBarsMistral Medium 3.5Ties
Coding141 tie
Intelligence20
Agentic work01
Reasoning45
Math021 tie
Knowledge64
Web design53
General622
All shared boards24412 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
Coding benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%66.4%Mistral Medium 3.5
Vibe Code Bench (Vals AI)14.2%2.9%GPT-5 Mini
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)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%40.2%Mistral Medium 3.5
Terminal-Bench Hard (Artificial Analysis run)33.3%33.3%Tie
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding14061460Mistral Medium 3.5
LMArena Text: software and IT13941458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 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 GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
AA Intelligence Index20.614.2GPT-5 Mini
Epoch Capabilities Index145.3141.4GPT-5 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral 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 Telecom71.1%94.2%Mistral Medium 3.5
Vending-Bench 2-$31Not measuredOnly GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)55.5%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index45
Reasoning benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
GPQA Diamond80.3%34.9%GPT-5 Mini
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%74.8%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)21.5%13.8%GPT-5 Mini
GPQA Diamond (Epoch AI run)75.0%Not measuredOnly GPT-5 Mini measured
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%Not measuredOnly GPT-5 Mini measured
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801436Mistral Medium 3.5
LMArena Text: expert13791432Mistral Medium 3.5
LMArena Text: hard prompts in English13831445Mistral Medium 3.5
LMArena Vision: diagrams12021254Mistral Medium 3.5
LMArena Vision: homework12101230Mistral Medium 3.5
Kagi LLM Benchmark70.3%41.4%GPT-5 Mini
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tiers 1 to 346.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%9.0%Tie
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781431Mistral Medium 3.5
LMArena Text: mathematical work13801440Mistral 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 index64
Knowledge benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
MMLU Pro82.2%75.3%GPT-5 Mini
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%44.2%GPT-5 Mini
CorpFin (Vals AI)60.2%58.8%GPT-5 Mini
TaxEval (Vals AI)75.2%68.0%GPT-5 Mini
MortgageTax (Vals AI)66.9%28.9%GPT-5 Mini
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%33.8%GPT-5 Mini
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711428Mistral Medium 3.5
LMArena Text: medicine and healthcare13801409Mistral Medium 3.5
LMArena Text: legal and government13751437Mistral Medium 3.5
LMArena Text: business and finance13581426Mistral Medium 3.5
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index53
Web design benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
Design Arena: websites11251142Mistral Medium 3.5
Design Arena: UI components11031076GPT-5 Mini
Design Arena: game dev11291079GPT-5 Mini
Design Arena: data viz11311120GPT-5 Mini
Design Arena: 3D10361060Mistral Medium 3.5
Design Arena: all code categories11141121Mistral Medium 3.5
Design Arena: SVG1091949GPT-5 Mini
Design Arena: ASCII art11251062GPT-5 Mini
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index622
General benchmarks for GPT-5 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral Medium 3.5Leader
SAGE (Vals AI)43.0%37.6%GPT-5 Mini
MedScribe (Vals AI)80.6%67.7%GPT-5 Mini
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench75.4%68.8%GPT-5 Mini
Long context reasoning (AA-LCR)72.3%69.3%GPT-5 Mini
DTBench80.5%75.5%GPT-5 Mini
LMCA34.2%26.1%GPT-5 Mini
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text13731421Mistral Medium 3.5
LMArena Text: instruction following13571415Mistral Medium 3.5
LMArena Text: creative writing13251374Mistral Medium 3.5
LMArena Vision12021222Mistral Medium 3.5
LMArena Text: English13791433Mistral Medium 3.5
LMArena Text: non-English13631404Mistral Medium 3.5
LMArena Text: Chinese13861444Mistral Medium 3.5
LMArena Text: German13661453Mistral Medium 3.5
LMArena Text: Japanese1341Not measuredOnly GPT-5 Mini measured
LMArena Text: Korean13081384Mistral Medium 3.5
LMArena Text: French13861448Mistral Medium 3.5
LMArena Text: Spanish13541411Mistral Medium 3.5
LMArena Text: Russian13621395Mistral Medium 3.5
LMArena Text: Polish13781430Mistral Medium 3.5
LMArena Text: multi-turn13631423Mistral Medium 3.5
LMArena Text: longer queries13551415Mistral Medium 3.5
LMArena Text: writing and language13441384Mistral Medium 3.5
LMArena Text: entertainment and media13401382Mistral Medium 3.5
LMArena Vision: English12161240Mistral Medium 3.5
LMArena Vision: Chinese12141244Mistral Medium 3.5
LMArena Vision: reading text11991233Mistral Medium 3.5
LMArena Vision: humor12051216Mistral Medium 3.5
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing11811198Mistral Medium 3.5
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 Mini and Mistral Medium 3.5
BenchmarkGPT-5 MiniMistral 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 Mini$0.0013Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
Mistral Medium 3.5$0.098Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
Mistral Medium 3.5$0.375Fits in one request

GPT-5 Mini 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 Mini and Mistral Medium 3.5
SpecificationOpenAI GPT-5 MiniMistral Medium 3.5
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025April 30, 2026
Context window400K262K
Input $/Mtok$0.25$1.50
Output $/Mtok$2.00$7.50
Coding index34.225.5
Independent measurements behind it23
Cost per solved task$0.08$6.02
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5 Mini for coding: it scores 34.2 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5, though on 2 benchmarks against 3. Pick Mistral Medium 3.5 for work measured by SWE-bench Verified (Vals AI) or SciCode, where it leads.

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

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and Mistral Medium 3.5 $6.02.

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

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

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

67 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 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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