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GLM 5V Turbo vs Mistral Medium 3.1

GLM 5V Turbo leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 23.5 to 9.2, and Mistral Medium 3.1 costs 2.0x less per output token ($2.00 vs $4.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Replace GLM 5V Turbo Replace Mistral Medium 3.1
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
48
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
4
vs boards won of 52 shared

GLM 5V Turbo 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 5V Turbo for a larger context window (203K against 131K tokens) and work measured by LMArena Text: medicine and healthcare or LMArena Text: legal and government, where it leads.

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
52
GLM 5V Turbo only
13
Mistral Medium 3.1 only
22
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
GLM 5V Turbo not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Agentic work, 57.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 5V Turbo 98.5% against Mistral Medium 3.1 40.6%, 57.9 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Mistral Medium 3.1 $2.00 per million output tokens, 2.0x apart.
Context window
GLM 5V Turbo takes 203K tokens, Mistral Medium 3.1 131K.

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 5V TurboBarsMistral Medium 3.1Ties
Coding30
Intelligence10
Agentic work10
Reasoning70
Math20
Knowledge22
Web design80
General242
All shared boards484
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral Medium 3.1Leader
LMArena WebDev1402Not measuredOnly GLM 5V Turbo measured
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)Not measured40.6%Only Mistral Medium 3.1 measured
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%10.6%GLM 5V Turbo
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14661433GLM 5V Turbo
LMArena Text: software and IT14601436GLM 5V Turbo
LMArena WebDev: React1386Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: HTML1356Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral Medium 3.1Leader
AA Intelligence Index23.59.2GLM 5V Turbo
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1070Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1127Not measuredOnly GLM 5V Turbo measured
τ²-Bench Telecom98.5%40.6%GLM 5V Turbo
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)80.9%58.8%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)17.1%4.7%GLM 5V Turbo
LMArena Text: hard prompts14431426GLM 5V Turbo
LMArena Text: expert14531408GLM 5V Turbo
LMArena Text: hard prompts in English14561435GLM 5V Turbo
LMArena Vision: diagrams12861175GLM 5V Turbo
LMArena Vision: homework12731165GLM 5V Turbo
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 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral 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 IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
LMArena Text: math14421408GLM 5V Turbo
LMArena Text: mathematical work14471412GLM 5V Turbo
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral 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)Not measured68.3%Only Mistral Medium 3.1 measured
LMArena Text: science14481444GLM 5V Turbo
LMArena Text: medicine and healthcare14331449Mistral Medium 3.1
LMArena Text: legal and government14361439Mistral Medium 3.1
LMArena Text: business and finance14351418GLM 5V Turbo
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral Medium 3.1Leader
Design Arena: websites12301132GLM 5V Turbo
Design Arena: UI components12101097GLM 5V Turbo
Design Arena: game dev12181073GLM 5V Turbo
Design Arena: data viz12021144GLM 5V Turbo
Design Arena: 3D12081081GLM 5V Turbo
Design Arena: all code categories12281120GLM 5V Turbo
Design Arena: SVG1151992GLM 5V Turbo
Design Arena: ASCII art1117997GLM 5V Turbo
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index242
General benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral Medium 3.1Leader
IFBench61.1%39.8%GLM 5V Turbo
Long context reasoning (AA-LCR)70.3%42.7%GLM 5V Turbo
DTBenchNot measured67.5%Only Mistral Medium 3.1 measured
LMCANot measured19.1%Only Mistral Medium 3.1 measured
LMArena Text14371424GLM 5V Turbo
LMArena Text: instruction following14231398GLM 5V Turbo
LMArena Text: creative writing14171391GLM 5V Turbo
LMArena Vision12641172GLM 5V Turbo
LMArena Text: English14541438GLM 5V Turbo
LMArena Text: non-English14201408GLM 5V Turbo
LMArena Text: Chinese14911447GLM 5V Turbo
LMArena Text: German14221432Mistral Medium 3.1
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: Korean13971380GLM 5V Turbo
LMArena Text: French14431460Mistral Medium 3.1
LMArena Text: Spanish14521433GLM 5V Turbo
LMArena Text: Russian14321411GLM 5V Turbo
LMArena Text: Polish14321430GLM 5V Turbo
LMArena Text: multi-turn14311418GLM 5V Turbo
LMArena Text: longer queries14381406GLM 5V Turbo
LMArena Text: writing and language14201395GLM 5V Turbo
LMArena Text: entertainment and media14071390GLM 5V Turbo
LMArena Vision: English12741179GLM 5V Turbo
LMArena Vision: Chinese13291190GLM 5V Turbo
LMArena Vision: reading text12701175GLM 5V Turbo
LMArena Vision: humor12681168GLM 5V Turbo
LMArena Vision: captioning12641145GLM 5V Turbo
LMArena Vision: recognizing things12411147GLM 5V Turbo
LMArena Vision: creative writing12521200GLM 5V Turbo
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5V Turbo and Mistral Medium 3.1
BenchmarkGLM 5V TurboMistral 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 5V Turbo$0.0032Fits in one request
Mistral Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Mistral Medium 3.1 costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Mistral Medium 3.1$0.100Exceeds the context window

Mistral Medium 3.1 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 5V Turbo and Mistral Medium 3.1
SpecificationZ.ai GLM 5V TurboMistral Medium 3.1
MakerZ.aiMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 1, 2026August 13, 2025
Context window203K131K
Input $/Mtok$1.20$0.40
Output $/Mtok$4.00$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo 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 5V Turbo for a larger context window (203K against 131K tokens) and work measured by LMArena Text: medicine and healthcare or LMArena Text: legal and government, where it leads.

Which is cheaper, GLM 5V Turbo or Mistral Medium 3.1?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 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 5V Turbo or Mistral Medium 3.1?

GLM 5V Turbo, with 203K tokens against 131K.

How many benchmarks is the GLM 5V Turbo vs Mistral Medium 3.1 comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark 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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