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GPT-5.4 Mini vs Mistral Medium 3.5

GPT-5.4 Mini leads Mistral Medium 3.5 on coding, 35.8 to 25.5 on the Vibe Coding Index, and GPT-5.4 Mini costs 1.7x less per output token ($4.50 vs $7.50 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
47
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
23
vs boards won of 70 shared

GPT-5.4 Mini or Mistral Medium 3.5: which to pick

Pick GPT-5.4 Mini for coding: it scores 35.8 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
70
GPT-5.4 Mini only
19
Mistral Medium 3.5 only
11
Like-for-like categories
7 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-5.4 Mini 35.8 from 5 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Coding, 15.1 points apart on average over 13 shared benchmarks.
Widest single gap
GPQA Diamond: GPT-5.4 Mini 83.1% against Mistral Medium 3.5 34.9%, 48.2 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Mistral Medium 3.5 $7.50 per million output tokens, 1.7x apart.
Context window
GPT-5.4 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-5.4 MiniBarsMistral Medium 3.5Ties
Coding112
Intelligence20
Agentic work51
Reasoning63
Math12
Knowledge54
General1711
All shared boards4723
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
Coding benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
LMArena WebDev13971264GPT-5.4 Mini
AA Coding Index56.146.9GPT-5.4 Mini
LiveCodeBench (Vals AI)81.5%Not measuredOnly GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)73.0%66.4%GPT-5.4 Mini
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%2.9%GPT-5.4 Mini
Code migration (Vals AI)12.9%5.1%GPT-5.4 Mini
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)54.7%39.0%GPT-5.4 Mini
SciCode52.1%40.2%GPT-5.4 Mini
Terminal-Bench Hard (Artificial Analysis run)52.3%33.3%GPT-5.4 Mini
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6764.0GPT-5.4 Mini
LMArena Text: coding14381460Mistral Medium 3.5
LMArena Text: software and IT14361458Mistral Medium 3.5
LMArena WebDev: React13861254GPT-5.4 Mini
LMArena WebDev: HTML14191308GPT-5.4 Mini
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
AA Intelligence Index24.114.2GPT-5.4 Mini
Epoch Capabilities Index148.7141.4GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
AA Agentic Index17.97.0GPT-5.4 Mini
Finance Agent (Vals AI)45.4%32.1%GPT-5.4 Mini
Tax Agent Bench (Vals AI)8.8%4.5%GPT-5.4 Mini
Legal Research Bench (Vals AI)12.5%9.1%GPT-5.4 Mini
Excel Modeling Benchmark (Vals AI)45.4%11.2%GPT-5.4 Mini
τ²-Bench Telecom83.3%94.2%Mistral Medium 3.5
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
GPQA Diamond83.1%34.9%GPT-5.4 Mini
MMMU Pro (Vals AI)79.3%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)87.5%74.8%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)28.1%13.8%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241436Mistral Medium 3.5
LMArena Text: expert14351432GPT-5.4 Mini
LMArena Text: hard prompts in English14201445Mistral Medium 3.5
LMArena Vision: diagrams12661254GPT-5.4 Mini
LMArena Vision: homework12851230GPT-5.4 Mini
Kagi LLM Benchmark37.9%41.4%Mistral Medium 3.5
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
AIME95.6%Not measuredOnly GPT-5.4 Mini measured
OTIS Mock AIME88.9%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tiers 1 to 351.2%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%9.0%GPT-5.4 Mini
LMArena Text: math14181431Mistral Medium 3.5
LMArena Text: mathematical work14291440Mistral Medium 3.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
Knowledge benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
MMLU Pro84.5%75.3%GPT-5.4 Mini
CaseLaw (Vals AI)51.7%44.2%GPT-5.4 Mini
CorpFin (Vals AI)60.9%58.8%GPT-5.4 Mini
TaxEval (Vals AI)71.2%68.0%GPT-5.4 Mini
MortgageTax (Vals AI)63.5%28.9%GPT-5.4 Mini
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science14171428Mistral Medium 3.5
LMArena Text: medicine and healthcare13951409Mistral Medium 3.5
LMArena Text: legal and government14141437Mistral Medium 3.5
LMArena Text: business and finance14181426Mistral Medium 3.5
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
Design Arena: websitesNot measured1142Only Mistral Medium 3.5 measured
Design Arena: UI componentsNot measured1076Only Mistral Medium 3.5 measured
Design Arena: game devNot measured1079Only Mistral Medium 3.5 measured
Design Arena: data vizNot measured1120Only Mistral Medium 3.5 measured
Design Arena: 3DNot measured1060Only Mistral Medium 3.5 measured
Design Arena: all code categoriesNot measured1121Only Mistral Medium 3.5 measured
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 index1711
General benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 MiniMistral Medium 3.5Leader
SAGE (Vals AI)50.8%37.6%GPT-5.4 Mini
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal Index54.2%34.8%GPT-5.4 Mini
IFBench73.3%68.8%GPT-5.4 Mini
Long context reasoning (AA-LCR)77.0%69.3%GPT-5.4 Mini
DTBench80.0%75.5%GPT-5.4 Mini
LMCA40.8%26.1%GPT-5.4 Mini
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14121421Mistral Medium 3.5
LMArena Text: instruction following14051415Mistral Medium 3.5
LMArena Text: creative writing13701374Mistral Medium 3.5
LMArena Vision12451222GPT-5.4 Mini
LMArena Text: English14121433Mistral Medium 3.5
LMArena Text: non-English14051404GPT-5.4 Mini
LMArena Text: Chinese14461444GPT-5.4 Mini
LMArena Text: German14081453Mistral Medium 3.5
LMArena Text: Japanese1375Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Korean13701384Mistral Medium 3.5
LMArena Text: French14411448Mistral Medium 3.5
LMArena Text: Spanish14051411Mistral Medium 3.5
LMArena Text: Russian14171395GPT-5.4 Mini
LMArena Text: Polish14151430Mistral Medium 3.5
LMArena Text: multi-turn14291423GPT-5.4 Mini
LMArena Text: longer queries14081415Mistral Medium 3.5
LMArena Text: writing and language13931384GPT-5.4 Mini
LMArena Text: entertainment and media13731382Mistral Medium 3.5
LMArena Vision: English12441240GPT-5.4 Mini
LMArena Vision: Chinese12861244GPT-5.4 Mini
LMArena Vision: reading text12531233GPT-5.4 Mini
LMArena Vision: humor12351216GPT-5.4 Mini
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing12221198GPT-5.4 Mini
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Mini and Mistral Medium 3.5
BenchmarkGPT-5.4 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-5.4 Mini$0.0030Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

GPT-5.4 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Mistral Medium 3.5$0.098Fits in one request

GPT-5.4 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Mistral Medium 3.5$0.375Fits in one request

GPT-5.4 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-5.4 Mini and Mistral Medium 3.5
SpecificationOpenAI GPT-5.4 MiniMistral Medium 3.5
MakerOpenAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026April 30, 2026
Context window400K262K
Input $/Mtok$0.75$1.50
Output $/Mtok$4.50$7.50
Coding index35.825.5
Independent measurements behind it53
Cost per solved task$0.70$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Mistral Medium 3.5 for coding?

Pick GPT-5.4 Mini for coding: it scores 35.8 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5.4 Mini or Mistral Medium 3.5?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, GPT-5.4 Mini or Mistral Medium 3.5?

GPT-5.4 Mini, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Mini vs Mistral Medium 3.5 comparison based on?

70 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 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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