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Mistral Medium 3.1 vs MiMo-V2.5

MiMo-V2.5 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 21.8 to 9.2, and MiMo-V2.5 costs 6.0x less per output token ($0.336 vs $2.00 per million). Updated October 21, 2026; 63 benchmarks have a result for both.

Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
11
MiMo-V2.5Xiaomi
Coding
50.0
Overall
50.7
Output $/M
$0.336
52
vs boards won of 63 shared

Mistral Medium 3.1 or MiMo-V2.5: which to pick

Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3.1 for work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Shared results
63
Mistral Medium 3.1 only
11
MiMo-V2.5 only
17
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 3.1 not benchmarked, MiMo-V2.5 50.0 from 3 benchmarks.
Widest category
Agentic work, 32.0 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Mistral Medium 3.1 40.6% against MiMo-V2.5 90.6%, 50.0 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.1 $2.00 against MiMo-V2.5 $0.336 per million output tokens, 6.0x apart.
Context window
Mistral Medium 3.1 takes 131K tokens, MiMo-V2.5 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 3.1BarsMiMo-V2.5Ties
Coding07
Intelligence01
Agentic work02
Reasoning08
Math02
Knowledge36
Web design08
General818
All shared boards1152
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
LMArena WebDevNot measured1438Only MiMo-V2.5 measured
AA Coding Index20.556.8MiMo-V2.5
LiveCodeBench (Vals AI)44.8%81.5%MiMo-V2.5
SWE-bench Verified (Vals AI)Not measured71.0%Only MiMo-V2.5 measured
Vibe Code Bench (Vals AI)Not measured42.2%Only MiMo-V2.5 measured
Code migration (Vals AI)Not measured14.2%Only MiMo-V2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured60.7%Only MiMo-V2.5 measured
LiveCodeBench (Artificial Analysis run)40.6%Not measuredOnly Mistral Medium 3.1 measured
SciCode32.4%43.9%MiMo-V2.5
Terminal-Bench Hard (Artificial Analysis run)10.6%41.7%MiMo-V2.5
ALE-Bench210.2514.0MiMo-V2.5
LMArena Text: coding14331469MiMo-V2.5
LMArena Text: software and IT14361463MiMo-V2.5
LMArena WebDev: ReactNot measured1425Only MiMo-V2.5 measured
LMArena WebDev: HTMLNot measured1429Only MiMo-V2.5 measured
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 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
AA Intelligence Index9.221.8MiMo-V2.5
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
AA Agentic Index1.915.8MiMo-V2.5
Finance Agent (Vals AI)Not measured36.7%Only MiMo-V2.5 measured
Tax Agent Bench (Vals AI)Not measured7.8%Only MiMo-V2.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only MiMo-V2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured55.1%Only MiMo-V2.5 measured
τ²-Bench Telecom40.6%90.6%MiMo-V2.5
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
GPQA DiamondNot measured81.6%Only MiMo-V2.5 measured
MMMU Pro (Vals AI)63.0%80.0%MiMo-V2.5
GPQA Diamond (Artificial Analysis run)58.8%84.9%MiMo-V2.5
Humanity's Last Exam (Artificial Analysis run)4.7%27.2%MiMo-V2.5
LMArena Text: hard prompts14261450MiMo-V2.5
LMArena Text: expert14081459MiMo-V2.5
LMArena Text: hard prompts in English14351461MiMo-V2.5
LMArena Vision: diagrams11751269MiMo-V2.5
LMArena Vision: homework11651262MiMo-V2.5
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
AIME42.3%Not measuredOnly Mistral Medium 3.1 measured
MATH 500 (Vals AI)87.0%Not measuredOnly Mistral Medium 3.1 measured
MGSM (Vals AI)90.9%Not measuredOnly Mistral Medium 3.1 measured
AA Math Index38.3Not measuredOnly Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)38.3%Not measuredOnly Mistral Medium 3.1 measured
ProofBenchNot measured16.0%Only MiMo-V2.5 measured
LMArena Text: math14081436MiMo-V2.5
LMArena Text: mathematical work14121451MiMo-V2.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
Knowledge benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
MMLU Pro75.3%82.9%MiMo-V2.5
LegalBench (Vals AI)62.0%78.9%MiMo-V2.5
CorpFin (Vals AI)50.7%59.9%MiMo-V2.5
TaxEval (Vals AI)70.3%71.8%MiMo-V2.5
MortgageTax (Vals AI)36.5%59.3%MiMo-V2.5
MedQA (Vals AI)78.2%Not measuredOnly Mistral Medium 3.1 measured
MedCode (Vals AI)Not measured31.9%Only MiMo-V2.5 measured
MMLU Pro (Artificial Analysis run)68.3%Not measuredOnly Mistral Medium 3.1 measured
LMArena Text: science14441440Mistral Medium 3.1
LMArena Text: medicine and healthcare14491432Mistral Medium 3.1
LMArena Text: legal and government14391425Mistral Medium 3.1
LMArena Text: business and finance14181432MiMo-V2.5
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
Design Arena: websites11331266MiMo-V2.5
Design Arena: UI components11001258MiMo-V2.5
Design Arena: game dev10741249MiMo-V2.5
Design Arena: data viz11441249MiMo-V2.5
Design Arena: 3D10811216MiMo-V2.5
Design Arena: all code categories11201260MiMo-V2.5
Design Arena: SVG9931178MiMo-V2.5
Design Arena: ASCII art9971140MiMo-V2.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index818
General benchmarks for Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
SAGE (Vals AI)Not measured43.3%Only MiMo-V2.5 measured
MedScribe (Vals AI)Not measured72.2%Only MiMo-V2.5 measured
Vals Multimodal IndexNot measured52.8%Only MiMo-V2.5 measured
IFBench39.8%67.1%MiMo-V2.5
Long context reasoning (AA-LCR)42.7%73.0%MiMo-V2.5
DTBench67.5%Not measuredOnly Mistral Medium 3.1 measured
LMCA19.1%Not measuredOnly Mistral Medium 3.1 measured
LMArena Text14241428MiMo-V2.5
LMArena Text: instruction following13981435MiMo-V2.5
LMArena Text: creative writing13911393MiMo-V2.5
LMArena Vision11721247MiMo-V2.5
LMArena Text: English14381447MiMo-V2.5
LMArena Text: non-English14081405Mistral Medium 3.1
LMArena Text: Chinese14471469MiMo-V2.5
LMArena Text: German14321421Mistral Medium 3.1
LMArena Text: Japanese13791306Mistral Medium 3.1
LMArena Text: Korean13801361Mistral Medium 3.1
LMArena Text: French14601448Mistral Medium 3.1
LMArena Text: Spanish14331414Mistral Medium 3.1
LMArena Text: Russian14111396Mistral Medium 3.1
LMArena Text: Polish14301413Mistral Medium 3.1
LMArena Text: multi-turn14181445MiMo-V2.5
LMArena Text: longer queries14061445MiMo-V2.5
LMArena Text: writing and language13951409MiMo-V2.5
LMArena Text: entertainment and media13901399MiMo-V2.5
LMArena Vision: English11791259MiMo-V2.5
LMArena Vision: Chinese11901326MiMo-V2.5
LMArena Vision: reading text11751256MiMo-V2.5
LMArena Vision: humor11681226MiMo-V2.5
LMArena Vision: captioning1145Not measuredOnly Mistral Medium 3.1 measured
LMArena Vision: recognizing things11471189MiMo-V2.5
LMArena Vision: creative writing12001230MiMo-V2.5
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 Mistral Medium 3.1 and MiMo-V2.5
BenchmarkMistral Medium 3.1MiMo-V2.5Leader
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

Mistral Medium 3.1$0.0014Fits in one request
MiMo-V2.5$0.0003Fits in one request

MiMo-V2.5 costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.1$0.026Fits in one request
MiMo-V2.5$0.0094Fits in one request

MiMo-V2.5 costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.1$0.100Exceeds the context window
MiMo-V2.5$0.037Fits in one request

MiMo-V2.5 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 3.1 and MiMo-V2.5
SpecificationMistral Medium 3.1Xiaomi MiMo-V2.5
MakerMistral AIXiaomi
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2025April 22, 2026
Context window131K1.05M
Input $/Mtok$0.40$0.168
Output $/Mtok$2.00$0.336
Coding indexNot benchmarked50.0
Independent measurements behind it03
Cost per solved taskNot computable$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.1 better than MiMo-V2.5 for coding?

Only MiMo-V2.5 has a coding score, 50.0 on the Vibe Coding Index; Mistral Medium 3.1 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Mistral Medium 3.1 or MiMo-V2.5?

Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; MiMo-V2.5 costs $0.168 and $0.336. Cost per solved task is known for MiMo-V2.5 only.

Which has the bigger context window, Mistral Medium 3.1 or MiMo-V2.5?

MiMo-V2.5, with 1.05M tokens against 131K.

How many benchmarks is the Mistral Medium 3.1 vs MiMo-V2.5 comparison based on?

63 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.1's coding index rests on 0 independent benchmarks and MiMo-V2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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