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Mistral Medium 3.5 vs MiMo-V2.6-Flash

Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
0
MiMo-V2.6-FlashXiaomi
Coding
61.9
Overall
37.9
Output $/M
$0.28
52
vs boards won of 52 shared

Decision reading

Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.

Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
52
Mistral Medium 3.5 only
28
MiMo-V2.6-Flash only
14
Like-for-like categories
7 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
Mistral Medium 3.5 9.2 from 1 benchmark, MiMo-V2.6-Flash 61.9 from 1 benchmark.
Widest category
Coding, 34.9 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Mistral Medium 3.5 2.9% against MiMo-V2.6-Flash 79.0%, 76.1 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3.5 $7.50 against MiMo-V2.6-Flash $0.28 per million output tokens, 26.8x apart.
Context window
Mistral Medium 3.5 takes 262K tokens, MiMo-V2.6-Flash 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-V2.6-FlashTies
Coding010
Intelligence01
Agentic work04
Reasoning06
Math03
Knowledge05
General023
All shared boards052
CodingLike-for-likeFour of these boards feed the Vibe Coding Index010
Coding benchmarks for Mistral Medium 3.5 and MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
LMArena WebDev12641634MiMo-V2.6-Flash
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 measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)2.9%79.0%MiMo-V2.6-Flash
Code migration (Vals AI)5.1%40.9%MiMo-V2.6-Flash
ProgramBench (Vals AI)Not measured0.5%Only MiMo-V2.6-Flash measured
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)39.0%76.4%MiMo-V2.6-Flash
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode40.2%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly Mistral Medium 3.5 measured
ALE-Bench764.01244.2MiMo-V2.6-Flash
LMArena Text: coding14601499MiMo-V2.6-Flash
LMArena Text: software and IT14581497MiMo-V2.6-Flash
LMArena WebDev: React12541648MiMo-V2.6-Flash
LMArena WebDev: HTML13081641MiMo-V2.6-Flash
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mistral Medium 3.5 and MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
AA Intelligence Index14.237.9MiMo-V2.6-Flash
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 MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
AA Agentic Index7.0Not measuredOnly Mistral Medium 3.5 measured
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)32.1%56.3%MiMo-V2.6-Flash
Tax Agent Bench (Vals AI)4.5%28.5%MiMo-V2.6-Flash
Legal Research Bench (Vals AI)9.1%38.0%MiMo-V2.6-Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)11.2%65.5%MiMo-V2.6-Flash
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only MiMo-V2.6-Flash measured
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash 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 MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
GPQA Diamond34.9%Not measuredOnly Mistral Medium 3.5 measured
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)74.8%Not measuredOnly Mistral Medium 3.5 measured
Humanity's Last Exam (Artificial Analysis run)13.8%35.1%MiMo-V2.6-Flash
LMArena Text: hard prompts14361475MiMo-V2.6-Flash
LMArena Text: expert14321496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14451493MiMo-V2.6-Flash
LMArena Vision: diagrams12541276MiMo-V2.6-Flash
LMArena Vision: homework12301283MiMo-V2.6-Flash
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Mistral Medium 3.5 and MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
ProofBench9.0%63.0%MiMo-V2.6-Flash
LMArena Text: math14311476MiMo-V2.6-Flash
LMArena Text: mathematical work14401478MiMo-V2.6-Flash
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Mistral Medium 3.5 and MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
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%41.1%MiMo-V2.6-Flash
LMArena Text: science14281462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare14091439MiMo-V2.6-Flash
LMArena Text: legal and government14371441MiMo-V2.6-Flash
LMArena Text: business and finance14261454MiMo-V2.6-Flash
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 Mistral Medium 3.5 and MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
Design Arena: websites1142Not measuredOnly Mistral Medium 3.5 measured
Design Arena: UI components1079Not 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: 3D1061Not measuredOnly Mistral Medium 3.5 measured
Design Arena: all code categories1122Not 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
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index023
General benchmarks for Mistral Medium 3.5 and MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
Public Benefits Bench (Vals AI)Not measured67.6%Only MiMo-V2.6-Flash measured
SAGE (Vals AI)37.6%43.5%MiMo-V2.6-Flash
MedScribe (Vals AI)67.7%85.3%MiMo-V2.6-Flash
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%74.3%MiMo-V2.6-Flash
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 Text14211453MiMo-V2.6-Flash
LMArena Text: instruction following14151452MiMo-V2.6-Flash
LMArena Text: creative writing13741403MiMo-V2.6-Flash
LMArena Vision12221256MiMo-V2.6-Flash
LMArena Text: English14331476MiMo-V2.6-Flash
LMArena Text: non-English14041431MiMo-V2.6-Flash
LMArena Text: Chinese14441509MiMo-V2.6-Flash
LMArena Text: German14531458MiMo-V2.6-Flash
LMArena Text: JapaneseNot measured1359Only MiMo-V2.6-Flash measured
LMArena Text: Korean13841425MiMo-V2.6-Flash
LMArena Text: French14481480MiMo-V2.6-Flash
LMArena Text: Spanish14111453MiMo-V2.6-Flash
LMArena Text: Russian13951409MiMo-V2.6-Flash
LMArena Text: Polish14301455MiMo-V2.6-Flash
LMArena Text: multi-turn14231447MiMo-V2.6-Flash
LMArena Text: longer queries14151459MiMo-V2.6-Flash
LMArena Text: writing and language13841424MiMo-V2.6-Flash
LMArena Text: entertainment and media13821415MiMo-V2.6-Flash
LMArena Vision: English12401269MiMo-V2.6-Flash
LMArena Vision: Chinese1244Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: reading text12331270MiMo-V2.6-Flash
LMArena Vision: humor1216Not measuredOnly Mistral Medium 3.5 measured
LMArena Vision: creative writing11981231MiMo-V2.6-Flash
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 MiMo-V2.6-Flash
BenchmarkMistral Medium 3.5MiMo-V2.6-FlashLeader
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-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3.5$0.098Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3.5$0.375Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

MiMo-V2.6-Flash 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-V2.6-Flash
SpecificationMistral Medium 3.5Xiaomi MiMo-V2.6-Flash
MakerMistral AIXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 30, 2026September 21, 2026
Context window262K1.05M
Input $/Mtok$1.50$0.14
Output $/Mtok$7.50$0.28
Coding index9.261.9
Independent measurements behind it11
Cost per solved task$6.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3.5 better than MiMo-V2.6-Flash for coding?

Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Mistral Medium 3.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Mistral Medium 3.5 or MiMo-V2.6-Flash?

Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, Mistral Medium 3.5 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 262K.

How many benchmarks is the Mistral Medium 3.5 vs MiMo-V2.6-Flash comparison based on?

52 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.5's coding index rests on 1 independent benchmark and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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