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Mistral Medium 3.5 vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads Mistral Medium 3.5 on coding, 31.6 to 25.5 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 8.2x less per output token ($0.9152 vs $7.50 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Replace Mistral Medium 3.5 Replace MiMo-V2.5-Pro
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
1
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
64
vs boards won of 66 shared, 1 tied

Mistral Medium 3.5 or MiMo-V2.5-Pro: which to pick

Pick MiMo-V2.5-Pro for coding: it scores 31.6 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for work measured by MedCode (Vals AI), where it leads.

Model AMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
66
Mistral Medium 3.5 only
15
MiMo-V2.5-Pro only
4
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
Mistral Medium 3.5 25.5 from 3 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Web design, 19.8 points apart on average over 8 shared benchmarks.
Widest single gap
GPQA Diamond: Mistral Medium 3.5 34.9% against MiMo-V2.5-Pro 82.6%, 47.7 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against MiMo-V2.5-Pro $0.9152 per million output tokens, 8.2x apart.
Context window
Mistral Medium 3.5 takes 262K tokens, MiMo-V2.5-Pro 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 3.5BarsMiMo-V2.5-ProTies
Coding013
Intelligence01
Agentic work051 tie
Reasoning06
Math03
Knowledge17
Web design08
General021
All shared boards1641 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index013
Coding benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
LMArena WebDev12641480MiMo-V2.5-Pro
AA Coding Index46.960.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)66.4%74.0%MiMo-V2.5-Pro
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)2.9%34.1%MiMo-V2.5-Pro
Code migration (Vals AI)5.1%21.6%MiMo-V2.5-Pro
Terminal-Bench 2.1 (Vals AI)39.0%57.3%MiMo-V2.5-Pro
SciCode40.2%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)33.3%43.2%MiMo-V2.5-Pro
ALE-Bench764.0899.8MiMo-V2.5-Pro
LMArena Text: coding14601501MiMo-V2.5-Pro
LMArena Text: software and IT14581495MiMo-V2.5-Pro
LMArena WebDev: React12541469MiMo-V2.5-Pro
LMArena WebDev: HTML13081473MiMo-V2.5-Pro
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
AA Intelligence Index14.226.0MiMo-V2.5-Pro
Epoch Capabilities Index141.4Not measuredOnly Mistral Medium 3.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
AA Agentic Index7.021.3MiMo-V2.5-Pro
Finance Agent (Vals AI)32.1%41.5%MiMo-V2.5-Pro
Tax Agent Bench (Vals AI)4.5%11.5%MiMo-V2.5-Pro
Legal Research Bench (Vals AI)9.1%15.9%MiMo-V2.5-Pro
Excel Modeling Benchmark (Vals AI)11.2%55.2%MiMo-V2.5-Pro
τ²-Bench Telecom94.2%94.2%Tie
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
GPQA Diamond34.9%82.6%MiMo-V2.5-Pro
GPQA Diamond (Artificial Analysis run)74.8%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)13.8%35.7%MiMo-V2.5-Pro
LMArena Text: hard prompts14361486MiMo-V2.5-Pro
LMArena Text: expert14321501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14451494MiMo-V2.5-Pro
LMArena Vision: diagrams1254Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: homework1230Not measuredOnly Mistral Medium 3.5 measured
Kagi LLM Benchmark41.4%Not measuredOnly Mistral Medium 3.5 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
ProofBench9.0%22.0%MiMo-V2.5-Pro
LMArena Text: math14311481MiMo-V2.5-Pro
LMArena Text: mathematical work14401491MiMo-V2.5-Pro
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
Knowledge benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
MMLU Pro75.3%84.6%MiMo-V2.5-Pro
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CaseLaw (Vals AI)44.2%Not measuredOnly Mistral Medium 3.5 measured
CorpFin (Vals AI)58.8%61.4%MiMo-V2.5-Pro
TaxEval (Vals AI)68.0%73.8%MiMo-V2.5-Pro
MortgageTax (Vals AI)28.9%Not measuredOnly Mistral Medium 3.5 measured
MedCode (Vals AI)33.8%32.5%Mistral Medium 3.5
LMArena Text: science14281482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14091473MiMo-V2.5-Pro
LMArena Text: legal and government14371474MiMo-V2.5-Pro
LMArena Text: business and finance14261466MiMo-V2.5-Pro
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
Design Arena: websites11421266MiMo-V2.5-Pro
Design Arena: UI components10761246MiMo-V2.5-Pro
Design Arena: game dev10791261MiMo-V2.5-Pro
Design Arena: data viz11201257MiMo-V2.5-Pro
Design Arena: 3D10601243MiMo-V2.5-Pro
Design Arena: all code categories11211265MiMo-V2.5-Pro
Design Arena: SVG9491181MiMo-V2.5-Pro
Design Arena: ASCII art10621156MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Mistral Medium 3.5 and MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
SAGE (Vals AI)37.6%Not measuredOnly Mistral Medium 3.5 measured
MedScribe (Vals AI)67.7%83.7%MiMo-V2.5-Pro
Vals Multimodal Index34.8%Not measuredOnly Mistral Medium 3.5 measured
IFBench68.8%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)69.3%79.7%MiMo-V2.5-Pro
DTBench75.5%84.5%MiMo-V2.5-Pro
LMCA26.1%29.5%MiMo-V2.5-Pro
Surface Evolver Bench26.9%Not measuredOnly Mistral Medium 3.5 measured
LMArena Text14211464MiMo-V2.5-Pro
LMArena Text: instruction following14151475MiMo-V2.5-Pro
LMArena Text: creative writing13741438MiMo-V2.5-Pro
LMArena Vision1222Not measuredOnly Mistral Medium 3.5 measured
LMArena Text: English14331477MiMo-V2.5-Pro
LMArena Text: non-English14041448MiMo-V2.5-Pro
LMArena Text: Chinese14441507MiMo-V2.5-Pro
LMArena Text: German14531459MiMo-V2.5-Pro
LMArena Text: JapaneseNot measured1410Only MiMo-V2.5-Pro measured
LMArena Text: Korean13841435MiMo-V2.5-Pro
LMArena Text: French14481487MiMo-V2.5-Pro
LMArena Text: Spanish14111469MiMo-V2.5-Pro
LMArena Text: Russian13951449MiMo-V2.5-Pro
LMArena Text: Polish14301464MiMo-V2.5-Pro
LMArena Text: multi-turn14231476MiMo-V2.5-Pro
LMArena Text: longer queries14151481MiMo-V2.5-Pro
LMArena Text: writing and language13841451MiMo-V2.5-Pro
LMArena Text: entertainment and media13821438MiMo-V2.5-Pro
LMArena Vision: English1240Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: Chinese1244Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: reading text1233Not measuredOnly Mistral Medium 3.5 measured
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 15 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 MiMo-V2.5-Pro
BenchmarkMistral Medium 3.5MiMo-V2.5-ProLeader
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
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.5$0.098Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.5$0.375Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

MiMo-V2.5-Pro 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 MiMo-V2.5-Pro
SpecificationMistral Medium 3.5Xiaomi MiMo-V2.5-Pro
MakerMistral AIXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026April 22, 2026
Context window262K1.05M
Input $/Mtok$1.50$0.4575
Output $/Mtok$7.50$0.9152
Coding index25.531.6
Independent measurements behind it34
Cost per solved task$6.02$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.5 better than MiMo-V2.5-Pro for coding?

Pick MiMo-V2.5-Pro for coding: it scores 31.6 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for work measured by MedCode (Vals AI), where it leads.

Which is cheaper, Mistral Medium 3.5 or MiMo-V2.5-Pro?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Mistral Medium 3.5 costs $6.02 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, Mistral Medium 3.5 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 262K.

How many benchmarks is the Mistral Medium 3.5 vs MiMo-V2.5-Pro comparison based on?

66 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 MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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