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Mistral Medium 3 vs Qwen3.8 27B

Qwen3.8 27B leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 33.7 to 9.0, and Mistral Medium 3 costs 1.3x less per output token ($2.00 vs $2.55 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace Mistral Medium 3 Replace Qwen3.8 27B
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Qwen3.8 27BQwen
Coding
74.2
Overall
59.6
Output $/M
$2.55
42
vs boards won of 42 shared

Mistral Medium 3 or Qwen3.8 27B: which to pick

Only Qwen3.8 27B has a coding score, 74.2 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding.

Pick Mistral Medium 3 for output tokens 1.3x cheaper ($2.00 vs $2.55 per million).

Model AMistral Medium 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.8 27BQwen74.2/1004 independent benchmarks$1.26 per solved task
Shared results
42
Mistral Medium 3 only
15
Qwen3.8 27B only
43
Like-for-like categories
6 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 not benchmarked, Qwen3.8 27B 74.2 from 4 benchmarks.
Widest category
Intelligence, 23.4 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Mistral Medium 3 31.3% against Qwen3.8 27B 82.0%, 50.7 points apart on a 0 to 100 scale.
Output price
Mistral Medium 3 $2.00 against Qwen3.8 27B $2.55 per million output tokens, 1.3x apart.
Context window
Mistral Medium 3 takes 131K tokens, Qwen3.8 27B 1M.

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 3BarsQwen3.8 27BTies
Coding02
Intelligence02
Reasoning07
Math02
Knowledge04
General025
All shared boards042
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
LiveBench codingNot measured86.8%Only Qwen3.8 27B measured
LMArena WebDevNot measured1593Only Qwen3.8 27B measured
AA Coding IndexNot measured68.1Only Qwen3.8 27B measured
LiveCodeBench (Vals AI)Not measured84.0%Only Qwen3.8 27B measured
SWE-bench Verified (Vals AI)Not measured86.0%Only Qwen3.8 27B measured
Vibe Code Bench (Vals AI)Not measured64.8%Only Qwen3.8 27B measured
Code migration (Vals AI)Not measured14.2%Only Qwen3.8 27B measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
IOI (Vals AI)Not measured39.1%Only Qwen3.8 27B measured
Terminal-Bench 2.1 (Vals AI)Not measured58.4%Only Qwen3.8 27B measured
SkillsBench (Vals AI)Not measured38.1%Only Qwen3.8 27B measured
CyberBench (Vals AI)Not measured67.8%Only Qwen3.8 27B measured
LiveCodeBench (Artificial Analysis run)40.0%Not measuredOnly Mistral Medium 3 measured
SciCodeNot measured46.6%Only Qwen3.8 27B measured
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly Mistral Medium 3 measured
LMArena Text: coding13851483Qwen3.8 27B
LMArena Text: software and IT13851478Qwen3.8 27B
LMArena WebDev: ReactNot measured1602Only Qwen3.8 27B measured
LMArena WebDev: HTMLNot measured1570Only Qwen3.8 27B measured
LMArena WebDev: from an imageNot measured1577Only Qwen3.8 27B measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
AA Intelligence Index9.033.7Qwen3.8 27B
Epoch Capabilities Index134.0151.7Qwen3.8 27B
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
AA Agentic IndexNot measured45.8Only Qwen3.8 27B measured
LiveBench researchNot measured59.4%Only Qwen3.8 27B measured
LiveBench browserNot measured32.0%Only Qwen3.8 27B measured
LiveBench long agenticNot measured27.9%Only Qwen3.8 27B measured
Finance Agent (Vals AI)Not measured48.5%Only Qwen3.8 27B measured
Tax Agent Bench (Vals AI)Not measured30.9%Only Qwen3.8 27B measured
Legal Research Bench (Vals AI)Not measured36.1%Only Qwen3.8 27B measured
Excel Modeling Benchmark (Vals AI)Not measured59.7%Only Qwen3.8 27B measured
Terminal-Bench-Science (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
τ²-Bench Telecom24.3%Not measuredOnly Mistral Medium 3 measured
APEX-AgentsNot measured47.5%Only Qwen3.8 27B measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
GPQA DiamondNot measured88.9%Only Qwen3.8 27B measured
LiveBench reasoningNot measured80.0%Only Qwen3.8 27B measured
MMMU Pro (Vals AI)Not measured83.9%Only Qwen3.8 27B measured
GPQA Diamond (Artificial Analysis run)57.8%90.5%Qwen3.8 27B
Humanity's Last Exam (Artificial Analysis run)4.1%33.9%Qwen3.8 27B
ARC-AGINot measured87.5%Only Qwen3.8 27B measured
ARC-AGI-2Not measured42.4%Only Qwen3.8 27B measured
LMArena Text: hard prompts13641459Qwen3.8 27B
LMArena Text: expert13421479Qwen3.8 27B
LMArena Text: hard prompts in English13741461Qwen3.8 27B
LMArena Vision: diagrams11551285Qwen3.8 27B
LMArena Vision: homework11651295Qwen3.8 27B
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
AA Math Index30.3Not measuredOnly Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)30.3%Not measuredOnly Mistral Medium 3 measured
ProofBenchNot measured16.0%Only Qwen3.8 27B measured
LMArena Text: math13531455Qwen3.8 27B
LMArena Text: mathematical work13541458Qwen3.8 27B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
MMLU ProNot measured84.3%Only Qwen3.8 27B measured
LegalBench (Vals AI)Not measured82.4%Only Qwen3.8 27B measured
TaxEval (Vals AI)Not measured70.8%Only Qwen3.8 27B measured
MortgageTax (Vals AI)Not measured64.9%Only Qwen3.8 27B measured
MedCode (Vals AI)Not measured28.7%Only Qwen3.8 27B measured
MMLU Pro (Artificial Analysis run)76.0%Not measuredOnly Mistral Medium 3 measured
LMArena Text: science13811467Qwen3.8 27B
LMArena Text: medicine and healthcare13811437Qwen3.8 27B
LMArena Text: legal and government13841447Qwen3.8 27B
LMArena Text: business and finance13521438Qwen3.8 27B
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
Design Arena: websites1079Not measuredOnly Mistral Medium 3 measured
Design Arena: UI components1022Not measuredOnly Mistral Medium 3 measured
Design Arena: game dev1017Not measuredOnly Mistral Medium 3 measured
Design Arena: data viz1034Not measuredOnly Mistral Medium 3 measured
Design Arena: 3D1083Not measuredOnly Mistral Medium 3 measured
Design Arena: all code categories1068Not measuredOnly Mistral Medium 3 measured
LiveBench designNot measured75.9%Only Qwen3.8 27B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index025
General benchmarks for Mistral Medium 3 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
LiveBench data analysisNot measured76.6%Only Qwen3.8 27B measured
SAGE (Vals AI)Not measured52.4%Only Qwen3.8 27B measured
MedScribe (Vals AI)Not measured83.8%Only Qwen3.8 27B measured
IFBench39.3%Not measuredOnly Mistral Medium 3 measured
Long context reasoning (AA-LCR)31.3%82.0%Qwen3.8 27B
DTBench62.3%88.0%Qwen3.8 27B
LMCANot measured41.4%Only Qwen3.8 27B measured
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
LMArena Text13701440Qwen3.8 27B
LMArena Text: instruction following13381436Qwen3.8 27B
LMArena Text: creative writing13431383Qwen3.8 27B
LMArena Vision11571269Qwen3.8 27B
LMArena Text: English13851448Qwen3.8 27B
LMArena Text: non-English13531428Qwen3.8 27B
LMArena Text: Chinese13741501Qwen3.8 27B
LMArena Text: German13771443Qwen3.8 27B
LMArena Text: Japanese13161387Qwen3.8 27B
LMArena Text: Korean13041384Qwen3.8 27B
LMArena Text: French13681465Qwen3.8 27B
LMArena Text: Spanish13641449Qwen3.8 27B
LMArena Text: Russian13591415Qwen3.8 27B
LMArena Text: Polish13711439Qwen3.8 27B
LMArena Text: multi-turn13841440Qwen3.8 27B
LMArena Text: longer queries13601448Qwen3.8 27B
LMArena Text: writing and language13521405Qwen3.8 27B
LMArena Text: entertainment and media13351393Qwen3.8 27B
LMArena Vision: English11721267Qwen3.8 27B
LMArena Vision: Chinese11611326Qwen3.8 27B
LMArena Vision: reading text11541281Qwen3.8 27B
LMArena Vision: humor11451235Qwen3.8 27B
LMArena Vision: captioning1094Not measuredOnly Mistral Medium 3 measured
LMArena Vision: recognizing things1141Not measuredOnly Mistral Medium 3 measured
LMArena Vision: creative writing11461237Qwen3.8 27B
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 and Qwen3.8 27B
BenchmarkMistral Medium 3Qwen3.8 27BLeader
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$0.0014Fits in one request
Qwen3.8 27B$0.0017Fits in one request

Mistral Medium 3 costs less

Repository review

50K input + 3K output tokens

Mistral Medium 3$0.026Fits in one request
Qwen3.8 27B$0.029Fits in one request

Mistral Medium 3 costs less

Agent loop

200K input + 10K output tokens

Mistral Medium 3$0.100Exceeds the context window
Qwen3.8 27B$0.111Fits in one request

Mistral Medium 3 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 and Qwen3.8 27B
SpecificationMistral Medium 3Qwen3.8 27B
MakerMistral AIQwen
WeightsNo public weights listedOpen weights
ReleasedMay 7, 2025August 14, 2026
Context window131K1M
Input $/Mtok$0.40$0.425
Output $/Mtok$2.00$2.55
Coding indexNot benchmarked74.2
Independent measurements behind it04
Cost per solved taskNot computable$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Medium 3 better than Qwen3.8 27B for coding?

Only Qwen3.8 27B has a coding score, 74.2 on the Vibe Coding Index; Mistral Medium 3 has none, so the two cannot be ranked on coding. Pick Mistral Medium 3 for output tokens 1.3x cheaper ($2.00 vs $2.55 per million).

Which is cheaper, Mistral Medium 3 or Qwen3.8 27B?

Mistral Medium 3 costs $0.40 per million input tokens and $2.00 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Cost per solved task is known for Qwen3.8 27B only.

Which has the bigger context window, Mistral Medium 3 or Qwen3.8 27B?

Qwen3.8 27B, with 1M tokens against 131K.

How many benchmarks is the Mistral Medium 3 vs Qwen3.8 27B comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. Mistral Medium 3's coding index rests on 0 independent benchmarks and Qwen3.8 27B's on 4. Where only one model has a result, the page says so instead of naming a winner.

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