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Mistral Medium 3.5 vs Step 5 Preview

Step 5 Preview leads Mistral Medium 3.5 on coding, 61.1 to 25.5 on the Vibe Coding Index, and Step 5 Preview costs 2.8x less per output token ($2.70 vs $7.50 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
1
Step 5 PreviewStepFun
Coding
61.1
Overall
60.5
Output $/M
$2.70
42
vs boards won of 43 shared

Mistral Medium 3.5 or Step 5 Preview: which to pick

Pick Step 5 Preview for coding: it scores 61.1 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for work measured by LMArena Text: French, where it leads.

Shared results
43
Mistral Medium 3.5 only
38
Step 5 Preview only
18
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
Mistral Medium 3.5 25.5 from 3 benchmarks, Step 5 Preview 61.1 from 4 benchmarks.
Widest category
Coding, 33.3 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Mistral Medium 3.5 2.9% against Step 5 Preview 70.4%, 67.5 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against Step 5 Preview $2.70 per million output tokens, 2.8x apart.
Context window
Mistral Medium 3.5 takes 262K tokens, Step 5 Preview 1.05M.

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
CategoryMistral Medium 3.5BarsStep 5 PreviewTies
Coding08
Intelligence01
Agentic work04
Reasoning06
Math03
Knowledge04
General116
All shared boards142
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
LiveBench codingNot measured85.6%Only Step 5 Preview measured
LMArena WebDev12641567Step 5 Preview
AA Coding Index46.9Not measuredOnly Mistral Medium 3.5 measured
SWE-bench Verified (Vals AI)66.4%Not measuredOnly Mistral Medium 3.5 measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only Step 5 Preview measured
Vibe Code Bench (Vals AI)2.9%70.4%Step 5 Preview
Code migration (Vals AI)5.1%39.0%Step 5 Preview
IOI (Vals AI)Not measured38.1%Only Step 5 Preview measured
Terminal-Bench 2.1 (Vals AI)39.0%Not measuredOnly Mistral Medium 3.5 measured
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Step 5 Preview measured
SciCode40.2%58.9%Step 5 Preview
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly Mistral Medium 3.5 measured
ALE-Bench764.0Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: coding14601485Step 5 Preview
LMArena Text: software and IT14581473Step 5 Preview
LMArena WebDev: React12541583Step 5 Preview
LMArena WebDev: HTML13081556Step 5 Preview
LMArena WebDev: from an imageNot measured1550Only Step 5 Preview measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
AA Intelligence Index14.243.7Step 5 Preview
Epoch Capabilities Index141.4Not measuredOnly Mistral Medium 3.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
AA Agentic Index7.0Not measuredOnly Mistral Medium 3.5 measured
LiveBench researchNot measured72.8%Only Step 5 Preview measured
LiveBench browserNot measured24.0%Only Step 5 Preview measured
LiveBench long agenticNot measured27.5%Only Step 5 Preview measured
SREBench (Vals AI)Not measured0.4%Only Step 5 Preview measured
Finance Agent (Vals AI)32.1%50.7%Step 5 Preview
Tax Agent Bench (Vals AI)4.5%27.3%Step 5 Preview
Legal Research Bench (Vals AI)9.1%40.4%Step 5 Preview
Excel Modeling Benchmark (Vals AI)11.2%57.1%Step 5 Preview
BioMysteryBench (Vals AI)Not measured67.4%Only Step 5 Preview measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only Step 5 Preview measured
Vals Science IndexNot measured29.6%Only Step 5 Preview measured
τ²-Bench Telecom94.2%Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
GPQA Diamond34.9%Not measuredOnly Mistral Medium 3.5 measured
LiveBench reasoningNot measured83.8%Only Step 5 Preview measured
MysteryMechanism (Vals AI)Not measured18.5%Only Step 5 Preview measured
GPQA Diamond (Artificial Analysis run)74.8%Not measuredOnly Mistral Medium 3.5 measured
Humanity's Last Exam (Artificial Analysis run)13.8%46.5%Step 5 Preview
LMArena Text: hard prompts14361461Step 5 Preview
LMArena Text: expert14321485Step 5 Preview
LMArena Text: hard prompts in English14451454Step 5 Preview
LMArena Vision: diagrams12541308Step 5 Preview
LMArena Vision: homework12301265Step 5 Preview
Kagi LLM Benchmark41.4%Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
ProofBench9.0%42.0%Step 5 Preview
LMArena Text: math14311458Step 5 Preview
LMArena Text: mathematical work14401460Step 5 Preview
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
MMLU Pro75.3%Not measuredOnly Mistral Medium 3.5 measured
CaseLaw (Vals AI)44.2%Not measuredOnly Mistral Medium 3.5 measured
CorpFin (Vals AI)58.8%Not measuredOnly Mistral Medium 3.5 measured
TaxEval (Vals AI)68.0%Not measuredOnly Mistral Medium 3.5 measured
MortgageTax (Vals AI)28.9%Not measuredOnly Mistral Medium 3.5 measured
MedCode (Vals AI)33.8%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: science14281454Step 5 Preview
LMArena Text: medicine and healthcare14091439Step 5 Preview
LMArena Text: legal and government14371437Step 5 Preview
LMArena Text: business and finance14261435Step 5 Preview
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
Design Arena: websites1142Not measuredOnly Mistral Medium 3.5 measured
Design Arena: UI components1076Not measuredOnly Mistral Medium 3.5 measured
Design Arena: game dev1079Not measuredOnly Mistral Medium 3.5 measured
Design Arena: data viz1120Not measuredOnly Mistral Medium 3.5 measured
Design Arena: 3D1060Not measuredOnly Mistral Medium 3.5 measured
Design Arena: all code categories1121Not measuredOnly Mistral Medium 3.5 measured
Design Arena: SVG949Not measuredOnly Mistral Medium 3.5 measured
Design Arena: ASCII art1062Not measuredOnly Mistral Medium 3.5 measured
LiveBench designNot measured76.9%Only Step 5 Preview measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
General benchmarks for Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
LiveBench data analysisNot measured63.5%Only Step 5 Preview measured
Public Benefits Bench (Vals AI)Not measured58.1%Only Step 5 Preview measured
SAGE (Vals AI)37.6%Not measuredOnly Mistral Medium 3.5 measured
MedScribe (Vals AI)67.7%Not measuredOnly Mistral Medium 3.5 measured
Vals Multimodal Index34.8%Not measuredOnly Mistral Medium 3.5 measured
IFBench68.8%Not measuredOnly Mistral Medium 3.5 measured
Long context reasoning (AA-LCR)69.3%88.3%Step 5 Preview
DTBench75.5%Not measuredOnly Mistral Medium 3.5 measured
LMCA26.1%Not measuredOnly Mistral Medium 3.5 measured
Surface Evolver Bench26.9%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text14211440Step 5 Preview
LMArena Text: instruction following14151438Step 5 Preview
LMArena Text: creative writing13741409Step 5 Preview
LMArena Vision12221265Step 5 Preview
LMArena Text: English14331447Step 5 Preview
LMArena Text: non-English14041428Step 5 Preview
LMArena Text: Chinese14441500Step 5 Preview
LMArena Text: German1453Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: JapaneseNot measured1383Only Step 5 Preview measured
LMArena Text: Korean1384Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: French14481438Mistral Medium 3.5
LMArena Text: Spanish14111441Step 5 Preview
LMArena Text: Russian13951433Step 5 Preview
LMArena Text: Polish1430Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: multi-turn14231437Step 5 Preview
LMArena Text: longer queries14151449Step 5 Preview
LMArena Text: writing and language13841425Step 5 Preview
LMArena Text: entertainment and media13821412Step 5 Preview
LMArena Vision: English12401290Step 5 Preview
LMArena Vision: Chinese1244Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: reading text12331282Step 5 Preview
LMArena Vision: humor1216Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: creative writing1198Not measuredOnly Mistral Medium 3.5 measured
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 Mistral Medium 3.5 and Step 5 Preview
BenchmarkMistral Medium 3.5Step 5 PreviewLeader
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

Mistral Medium 3.5$0.0053Fits in one request
Step 5 Preview$0.0024Fits in one request

Step 5 Preview costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.5$0.098Fits in one request
Step 5 Preview$0.058Fits in one request

Step 5 Preview costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.5$0.375Fits in one request
Step 5 Preview$0.227Fits in one request

Step 5 Preview 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 Mistral Medium 3.5 and Step 5 Preview
SpecificationMistral Medium 3.5StepFun Step 5 Preview
MakerMistral AIStepFun
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026October 8, 2026
Context window262K1.05M
Input $/Mtok$1.50$1.00
Output $/Mtok$7.50$2.70
Coding index25.561.1
Independent measurements behind it34
Cost per solved task$6.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.5 better than Step 5 Preview for coding?

Pick Step 5 Preview for coding: it scores 61.1 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for work measured by LMArena Text: French, where it leads.

Which is cheaper, Mistral Medium 3.5 or Step 5 Preview?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Step 5 Preview costs $1.00 and $2.70. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Mistral Medium 3.5 or Step 5 Preview?

Step 5 Preview, with 1.05M tokens against 262K.

How many benchmarks is the Mistral Medium 3.5 vs Step 5 Preview comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3.5's coding index rests on 3 independent benchmarks and Step 5 Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/mistral-medium-3-5-vs-stepfun-step-5-preview">LLMBenchmark.ai, Mistral Medium 3.5 vs Step 5 Preview</a></p>