Enter opens the highlighted result. Esc closes.

GPT-5 Mini vs Mistral Medium 3.1

Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Mini Replace Mistral Medium 3.1
GPT-5 MiniOpenAI
Coding
34.2
Overall
20.6
Output $/M
$2.00
38
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
33
vs boards won of 71 shared

Decision reading

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Mistral Medium 3.1 has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
71
GPT-5 Mini only
27
Mistral Medium 3.1 only
3
Like-for-like categories
8 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
GPT-5 Mini 34.2 from 2 benchmarks, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 30.4 points apart on average over 1 shared benchmark.
Widest single gap
AA Math Index: GPT-5 Mini 90.7 against Mistral Medium 3.1 38.3, 52.4 points apart on a 0 to 100 scale.
Output price
Both cost $2.00 per million output tokens.
Context window
GPT-5 Mini takes 400K 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
CategoryGPT-5 MiniBarsMistral Medium 3.1Ties
Coding42
Intelligence10
Agentic work10
Reasoning53
Math52
Knowledge74
Web design44
General1118
All shared boards3833
CodingLike-for-likeSix of these boards feed the Vibe Coding Index42
Coding benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)86.6%44.8%GPT-5 Mini
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%40.6%GPT-5 Mini
SciCode39.0%32.4%GPT-5 Mini
Terminal-Bench Hard (Artificial Analysis run)33.3%10.6%GPT-5 Mini
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14061433Mistral Medium 3.1
LMArena Text: software and IT13941436Mistral Medium 3.1
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
AA Intelligence Index20.69.2GPT-5 Mini
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom71.1%40.6%GPT-5 Mini
Vending-Bench 2-$31Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
Reasoning benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%63.0%GPT-5 Mini
GPQA Diamond (Artificial Analysis run)82.8%58.8%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)21.5%4.7%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 prompts13801426Mistral Medium 3.1
LMArena Text: expert13791408Mistral Medium 3.1
LMArena Text: hard prompts in English13831435Mistral Medium 3.1
LMArena Vision: diagrams12021175GPT-5 Mini
LMArena Vision: homework12101165GPT-5 Mini
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index52
Math benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
AIME91.5%42.3%GPT-5 Mini
MATH 500 (Vals AI)94.8%87.0%GPT-5 Mini
MGSM (Vals AI)92.6%90.9%GPT-5 Mini
AA Math Index90.738.3GPT-5 Mini
AIME 2025 (Artificial Analysis run)90.7%38.3%GPT-5 Mini
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%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781408Mistral Medium 3.1
LMArena Text: mathematical work13801412Mistral Medium 3.1
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index74
Knowledge benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
MMLU Pro82.2%75.3%GPT-5 Mini
LegalBench (Vals AI)81.8%62.0%GPT-5 Mini
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%50.7%GPT-5 Mini
TaxEval (Vals AI)75.2%70.3%GPT-5 Mini
MortgageTax (Vals AI)66.9%36.5%GPT-5 Mini
MedQA (Vals AI)96.1%78.2%GPT-5 Mini
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%68.3%GPT-5 Mini
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711444Mistral Medium 3.1
LMArena Text: medicine and healthcare13801449Mistral Medium 3.1
LMArena Text: legal and government13751439Mistral Medium 3.1
LMArena Text: business and finance13581418Mistral Medium 3.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index44
Web design benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
Design Arena: websites11251133Mistral Medium 3.1
Design Arena: UI components11061099GPT-5 Mini
Design Arena: game dev11291074GPT-5 Mini
Design Arena: data viz11301144Mistral Medium 3.1
Design Arena: 3D10371081Mistral Medium 3.1
Design Arena: all code categories11151120Mistral Medium 3.1
Design Arena: SVG1091993GPT-5 Mini
Design Arena: ASCII art1124997GPT-5 Mini
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1118
General benchmarks for GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral Medium 3.1Leader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%39.8%GPT-5 Mini
Long context reasoning (AA-LCR)72.3%42.7%GPT-5 Mini
DTBench80.5%67.5%GPT-5 Mini
LMCA34.2%19.1%GPT-5 Mini
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731424Mistral Medium 3.1
LMArena Text: instruction following13571398Mistral Medium 3.1
LMArena Text: creative writing13251391Mistral Medium 3.1
LMArena Vision12021172GPT-5 Mini
LMArena Text: English13791438Mistral Medium 3.1
LMArena Text: non-English13631408Mistral Medium 3.1
LMArena Text: Chinese13861447Mistral Medium 3.1
LMArena Text: German13661432Mistral Medium 3.1
LMArena Text: Japanese13411379Mistral Medium 3.1
LMArena Text: Korean13081380Mistral Medium 3.1
LMArena Text: French13861460Mistral Medium 3.1
LMArena Text: Spanish13541433Mistral Medium 3.1
LMArena Text: Russian13621411Mistral Medium 3.1
LMArena Text: Polish13781430Mistral Medium 3.1
LMArena Text: multi-turn13631418Mistral Medium 3.1
LMArena Text: longer queries13551406Mistral Medium 3.1
LMArena Text: writing and language13441395Mistral Medium 3.1
LMArena Text: entertainment and media13401390Mistral Medium 3.1
LMArena Vision: English12161179GPT-5 Mini
LMArena Vision: Chinese12141190GPT-5 Mini
LMArena Vision: reading text11991175GPT-5 Mini
LMArena Vision: humor12051168GPT-5 Mini
LMArena Vision: captioning12171145GPT-5 Mini
LMArena Vision: recognizing things12261147GPT-5 Mini
LMArena Vision: creative writing11811200Mistral Medium 3.1
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 GPT-5 Mini and Mistral Medium 3.1
BenchmarkGPT-5 MiniMistral 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

GPT-5 Mini$0.0013Fits in one request
Mistral Medium 3.1$0.0014Fits 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 3.1$0.026Fits 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 3.1$0.100Exceeds the context window

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 3.1
SpecificationOpenAI GPT-5 MiniMistral Medium 3.1
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025August 13, 2025
Context window400K131K
Input $/Mtok$0.25$0.40
Output $/Mtok$2.00$2.00
Coding index34.2Not benchmarked
Independent measurements behind it20
Cost per solved task$0.08Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Mini better than Mistral Medium 3.1 for coding?

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Mistral Medium 3.1 has the edge where what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5 Mini or Mistral Medium 3.1?

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for GPT-5 Mini only.

Which has the bigger context window, GPT-5 Mini or Mistral Medium 3.1?

GPT-5 Mini, with 400K tokens against 131K.

How many benchmarks is the GPT-5 Mini vs Mistral Medium 3.1 comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. GPT-5 Mini's coding index rests on 2 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.

Compare next