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GLM 4.6V vs Mistral Medium 3.1

GLM 4.6V leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 11.2 to 9.2, and GLM 4.6V costs 2.2x less per output token ($0.90 vs $2.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace GLM 4.6V Replace Mistral Medium 3.1
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
11
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
27
vs boards won of 38 shared

GLM 4.6V or Mistral Medium 3.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 4.6V for output tokens 2.2x cheaper ($0.90 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGLM 4.6VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GLM 4.6V only
0
Mistral Medium 3.1 only
36
Like-for-like categories
7 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
GLM 4.6V not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Math, 47.0 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: GLM 4.6V 85.3 against Mistral Medium 3.1 38.3, 47.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against Mistral Medium 3.1 $2.00 per million output tokens, 2.2x apart.
Context window
Both take 131K tokens.

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
CategoryGLM 4.6VBarsMistral Medium 3.1Ties
Coding22
Intelligence10
Agentic work01
Reasoning34
Math20
Knowledge14
General216
All shared boards1127
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)41.1%40.6%GLM 4.6V
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)14.4%10.6%GLM 4.6V
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding13891433Mistral Medium 3.1
LMArena Text: software and IT13911436Mistral Medium 3.1
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
AA Intelligence Index11.29.2GLM 4.6V
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom31.6%40.6%Mistral Medium 3.1
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
Reasoning benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)71.9%58.8%GLM 4.6V
Humanity's Last Exam (Artificial Analysis run)9.6%4.7%GLM 4.6V
LMArena Text: hard prompts13671426Mistral Medium 3.1
LMArena Text: expert13711408Mistral Medium 3.1
LMArena Text: hard prompts in English13911435Mistral Medium 3.1
LMArena Vision: diagrams11821175GLM 4.6V
LMArena Vision: homework11551165Mistral Medium 3.1
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math Index85.338.3GLM 4.6V
AIME 2025 (Artificial Analysis run)85.3%38.3%GLM 4.6V
LMArena Text: mathNot measured1408Only Mistral Medium 3.1 measured
LMArena Text: mathematical workNot measured1412Only Mistral Medium 3.1 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)79.9%68.3%GLM 4.6V
LMArena Text: science13891444Mistral Medium 3.1
LMArena Text: medicine and healthcare13891449Mistral Medium 3.1
LMArena Text: legal and government13931439Mistral Medium 3.1
LMArena Text: business and finance13591418Mistral Medium 3.1
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 GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
Design Arena: websitesNot measured1133Only Mistral Medium 3.1 measured
Design Arena: UI componentsNot measured1100Only Mistral Medium 3.1 measured
Design Arena: game devNot measured1074Only Mistral Medium 3.1 measured
Design Arena: data vizNot measured1144Only Mistral Medium 3.1 measured
Design Arena: 3DNot measured1081Only Mistral Medium 3.1 measured
Design Arena: all code categoriesNot measured1120Only Mistral Medium 3.1 measured
Design Arena: SVGNot measured993Only Mistral Medium 3.1 measured
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index216
General benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
IFBench30.1%39.8%Mistral Medium 3.1
Long context reasoning (AA-LCR)48.7%42.7%GLM 4.6V
DTBenchNot measured67.5%Only Mistral Medium 3.1 measured
LMCANot measured19.1%Only Mistral Medium 3.1 measured
LMArena Text13761424Mistral Medium 3.1
LMArena Text: instruction following13501398Mistral Medium 3.1
LMArena Text: creative writing13471391Mistral Medium 3.1
LMArena Vision11641172Mistral Medium 3.1
LMArena Text: English13951438Mistral Medium 3.1
LMArena Text: non-English13581408Mistral Medium 3.1
LMArena Text: Chinese14251447Mistral Medium 3.1
LMArena Text: GermanNot measured1432Only Mistral Medium 3.1 measured
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: KoreanNot measured1380Only Mistral Medium 3.1 measured
LMArena Text: FrenchNot measured1460Only Mistral Medium 3.1 measured
LMArena Text: SpanishNot measured1433Only Mistral Medium 3.1 measured
LMArena Text: Russian13391411Mistral Medium 3.1
LMArena Text: PolishNot measured1430Only Mistral Medium 3.1 measured
LMArena Text: multi-turn13591418Mistral Medium 3.1
LMArena Text: longer queries13571406Mistral Medium 3.1
LMArena Text: writing and language13471395Mistral Medium 3.1
LMArena Text: entertainment and media13431390Mistral Medium 3.1
LMArena Vision: English11791179Mistral Medium 3.1
LMArena Vision: Chinese12171190GLM 4.6V
LMArena Vision: reading text11711175Mistral Medium 3.1
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writing11131200Mistral Medium 3.1
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6V and Mistral Medium 3.1
BenchmarkGLM 4.6VMistral Medium 3.1Leader
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

GLM 4.6V$0.0008Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

GLM 4.6V$0.018Fits in one request
Mistral Medium 3.1$0.026Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

GLM 4.6V$0.069Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

GLM 4.6V 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 GLM 4.6V and Mistral Medium 3.1
SpecificationZ.ai GLM 4.6VMistral Medium 3.1
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedDecember 8, 2025August 13, 2025
Context window131K131K
Input $/Mtok$0.30$0.40
Output $/Mtok$0.90$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6V better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 2.2x cheaper ($0.90 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 4.6V or Mistral Medium 3.1?

GLM 4.6V costs $0.30 per million input tokens and $0.90 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.6V or Mistral Medium 3.1?

Neither: both take 131K tokens.

How many benchmarks is the GLM 4.6V vs Mistral Medium 3.1 comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. GLM 4.6V's coding index rests on 0 independent benchmarks and Mistral Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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