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Mistral Large 4 vs Qwen3.6 Plus

Mistral Large 4 leads Qwen3.6 Plus on coding, 56.4 to 44.1 on the Vibe Coding Index, and Qwen3.6 Plus costs 2.1x less per output token ($1.95 vs $4.18 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
40
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
17
vs boards won of 57 shared

Mistral Large 4 or Qwen3.6 Plus: which to pick

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus.

Pick Qwen3.6 Plus for output tokens 2.1x cheaper ($1.95 vs $4.18 per million) and work measured by GPQA Diamond (Epoch AI run) or LMArena Text: hard prompts, where it leads.

Shared results
57
Mistral Large 4 only
24
Qwen3.6 Plus only
26
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 Large 4 56.4 from 5 benchmarks, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Agentic work, 19.2 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Mistral Large 4 78.4% against Qwen3.6 Plus 25.6%, 52.8 points apart on a 0 to 100 scale.
Output price
Mistral Large 4 $4.18 against Qwen3.6 Plus $1.95 per million output tokens, 2.1x apart.
Context window
Mistral Large 4 takes 1.05M tokens, Qwen3.6 Plus 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 Large 4BarsQwen3.6 PlusTies
Coding80
Intelligence20
Agentic work40
Reasoning34
Math40
Knowledge33
Web design80
General810
All shared boards4017
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
LiveBench coding60.0%Not measuredOnly Mistral Large 4 measured
LMArena WebDev15431461Mistral Large 4
AA Coding IndexNot measured54.5Only Qwen3.6 Plus measured
LiveCodeBench (Vals AI)Not measured86.0%Only Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)Not measured73.4%Only Qwen3.6 Plus measured
Terminal-Bench 4 (Vals AI)27.8%Not measuredOnly Mistral Large 4 measured
Vibe Code Bench (Vals AI)78.4%25.6%Mistral Large 4
Code migration (Vals AI)30.6%11.1%Mistral Large 4
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
IOI (Vals AI)45.3%Not measuredOnly Mistral Large 4 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus measured
SWE-bench Multimodal (Vals AI)33.1%Not measuredOnly Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)14.3%Not measuredOnly Mistral Large 4 measured
SciCode54.2%Not measuredOnly Mistral Large 4 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Qwen3.6 Plus measured
FrontierCode39.4%Not measuredOnly Mistral Large 4 measured
ALE-Bench1213.2670.1Mistral Large 4
LMArena Text: coding14781467Mistral Large 4
LMArena Text: software and IT14671462Mistral Large 4
LMArena WebDev: React15591454Mistral Large 4
LMArena WebDev: HTML14871463Mistral Large 4
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
AA Intelligence Index38.427.0Mistral Large 4
Epoch Capabilities Index150.0147.3Mistral Large 4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
LiveBench research28.1%Not measuredOnly Mistral Large 4 measured
LiveBench browser8.0%Not measuredOnly Mistral Large 4 measured
LiveBench long agentic11.8%Not measuredOnly Mistral Large 4 measured
Finance Agent (Vals AI)54.7%40.9%Mistral Large 4
Tax Agent Bench (Vals AI)30.4%7.7%Mistral Large 4
Legal Research Bench (Vals AI)31.7%14.9%Mistral Large 4
Harvey's Legal Agent Benchmark (Vals AI)17.5%Not measuredOnly Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)56.2%32.9%Mistral Large 4
BioMysteryBench (Vals AI)67.0%Not measuredOnly Mistral Large 4 measured
τ²-Bench TelecomNot measured97.7%Only Qwen3.6 Plus measured
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
Reasoning benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
GPQA DiamondNot measured87.4%Only Qwen3.6 Plus measured
LiveBench reasoning83.9%Not measuredOnly Mistral Large 4 measured
MysteryMechanism (Vals AI)12.2%Not measuredOnly Mistral Large 4 measured
MMMU Pro (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)Not measured88.2%Only Qwen3.6 Plus measured
Humanity's Last Exam (Artificial Analysis run)35.0%27.8%Mistral Large 4
GPQA Diamond (Epoch AI run)88.1%88.4%Qwen3.6 Plus
Chess puzzles33.0%14.0%Mistral Large 4
Mystery game puzzles17.0%12.0%Mistral Large 4
LMArena Text: hard prompts14441448Qwen3.6 Plus
LMArena Text: expert14441454Qwen3.6 Plus
LMArena Text: hard prompts in English14421455Qwen3.6 Plus
LMArena Vision: diagrams1288Not measuredOnly Mistral Large 4 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
AIMENot measured94.6%Only Qwen3.6 Plus measured
OTIS Mock AIME98.3%93.3%Mistral Large 4
FrontierMath, tiers 1 to 358.6%38.2%Mistral Large 4
FrontierMath, tier 426.8%Not measuredOnly Mistral Large 4 measured
ProofBench10.0%Not measuredOnly Mistral Large 4 measured
LMArena Text: math14691449Mistral Large 4
LMArena Text: mathematical work14621448Mistral Large 4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index33
Knowledge benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
MMLU ProNot measured87.7%Only Qwen3.6 Plus measured
LegalBench (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
CaseLaw (Vals AI)Not measured51.5%Only Qwen3.6 Plus measured
CorpFin (Vals AI)Not measured61.9%Only Qwen3.6 Plus measured
TaxEval (Vals AI)Not measured74.7%Only Qwen3.6 Plus measured
MortgageTax (Vals AI)Not measured68.0%Only Qwen3.6 Plus measured
MedCode (Vals AI)40.7%36.9%Mistral Large 4
SimpleQA Verified20.0%44.1%Qwen3.6 Plus
LMArena Text: science14481439Mistral Large 4
LMArena Text: medicine and healthcare14331442Qwen3.6 Plus
LMArena Text: legal and government14251437Qwen3.6 Plus
LMArena Text: business and finance14391430Mistral Large 4
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
Design Arena: websites12571243Mistral Large 4
Design Arena: UI components12721230Mistral Large 4
Design Arena: game dev12251211Mistral Large 4
Design Arena: data viz12751228Mistral Large 4
Design Arena: 3D12521202Mistral Large 4
Design Arena: all code categories12591236Mistral Large 4
Design Arena: SVG12321161Mistral Large 4
Design Arena: ASCII art12021113Mistral Large 4
LiveBench design65.6%Not measuredOnly Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index810
General benchmarks for Mistral Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
LiveBench data analysis76.5%Not measuredOnly Mistral Large 4 measured
SAGE (Vals AI)Not measured44.9%Only Qwen3.6 Plus measured
MedScribe (Vals AI)80.4%77.0%Mistral Large 4
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBenchNot measured75.2%Only Qwen3.6 Plus measured
Long context reasoning (AA-LCR)81.3%78.3%Mistral Large 4
DTBench88.2%81.9%Mistral Large 4
LMCA35.8%33.1%Mistral Large 4
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
Surface Evolver Bench28.1%Not measuredOnly Mistral Large 4 measured
Furniture assembly20.8%Not measuredOnly Mistral Large 4 measured
LMArena Text14311436Qwen3.6 Plus
LMArena Text: instruction following14221424Qwen3.6 Plus
LMArena Text: creative writing13631404Qwen3.6 Plus
LMArena Vision1272Not measuredOnly Mistral Large 4 measured
LMArena Text: English14331445Qwen3.6 Plus
LMArena Text: non-English14221424Qwen3.6 Plus
LMArena Text: Chinese14921477Mistral Large 4
LMArena Text: GermanNot measured1451Only Qwen3.6 Plus measured
LMArena Text: Japanese14151390Mistral Large 4
LMArena Text: KoreanNot measured1379Only Qwen3.6 Plus measured
LMArena Text: French14921455Mistral Large 4
LMArena Text: Spanish14551432Mistral Large 4
LMArena Text: Russian14171434Qwen3.6 Plus
LMArena Text: PolishNot measured1433Only Qwen3.6 Plus measured
LMArena Text: multi-turn14351438Qwen3.6 Plus
LMArena Text: longer queries14281439Qwen3.6 Plus
LMArena Text: writing and language13861418Qwen3.6 Plus
LMArena Text: entertainment and media13781402Qwen3.6 Plus
LMArena Vision: English1283Not measuredOnly Mistral Large 4 measured
LMArena Vision: reading text1284Not measuredOnly Mistral Large 4 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 Large 4 and Qwen3.6 Plus
BenchmarkMistral Large 4Qwen3.6 PlusLeader
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 Large 4$0.0034Fits in one request
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Mistral Large 4$0.081Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Mistral Large 4$0.314Fits in one request
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 Large 4 and Qwen3.6 Plus
SpecificationMistral Large 4Qwen3.6 Plus
MakerMistral AIQwen
WeightsNo public weights listedNo public weights listed
ReleasedOctober 6, 2026April 2, 2026
Context window1.05M1M
Input $/Mtok$1.36$0.325
Output $/Mtok$4.18$1.95
Coding index56.444.1
Independent measurements behind it53
Cost per solved taskNot computable$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Large 4 better than Qwen3.6 Plus for coding?

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus. Pick Qwen3.6 Plus for output tokens 2.1x cheaper ($1.95 vs $4.18 per million) and work measured by GPQA Diamond (Epoch AI run) or LMArena Text: hard prompts, where it leads.

Which is cheaper, Mistral Large 4 or Qwen3.6 Plus?

Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.

Which has the bigger context window, Mistral Large 4 or Qwen3.6 Plus?

Mistral Large 4, with 1.05M tokens against 1M.

How many benchmarks is the Mistral Large 4 vs Qwen3.6 Plus comparison based on?

57 benchmarks have a result for both models as of October 22, 2026. Mistral Large 4's coding index rests on 5 independent benchmarks and Qwen3.6 Plus's on 3. 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-large-4-0-vs-qwen3-6-plus">LLMBenchmark.ai, Mistral Large 4 vs Qwen3.6 Plus</a></p>