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GLM 5V Turbo vs Mistral Medium 3.5

Updated October 21, 2026. 53 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5V Turbo Replace Mistral Medium 3.5
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
48
Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
5
vs boards won of 53 shared

Decision reading

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 when the context window is larger, 262K against 203K tokens, or when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: legal and government, where it leads.

Model AGLM 5V TurboZ.ai28.8/1001 independent benchmarkNo cost per solved taskModel BMistral Medium 3.5Mistral AI9.2/1001 independent benchmark$6.02 per solved task
Shared results
53
GLM 5V Turbo only
12
Mistral Medium 3.5 only
27
Like-for-like categories
8 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
GLM 5V Turbo 28.8 from 1 benchmark, Mistral Medium 3.5 9.2 from 1 benchmark.
Widest category
Web design, 14.9 points apart on average over 8 shared benchmarks.
Widest single gap
Design Arena: SVG: GLM 5V Turbo 1151 against Mistral Medium 3.5 949, 25.2 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Mistral Medium 3.5 $7.50 per million output tokens, 1.9x apart.
Context window
GLM 5V Turbo takes 203K tokens, Mistral Medium 3.5 262K.

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 3.5Ties
Coding51
Intelligence10
Agentic work10
Reasoning70
Math20
Knowledge31
Web design80
General213
All shared boards485
CodingLike-for-likeFour of these boards feed the Vibe Coding Index51
Coding benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
LMArena WebDev14021264GLM 5V Turbo
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%33.3%Mistral Medium 3.5
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding14661460GLM 5V Turbo
LMArena Text: software and IT14601458GLM 5V Turbo
LMArena WebDev: React13861254GLM 5V Turbo
LMArena WebDev: HTML13561308GLM 5V Turbo
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
AA Intelligence Index23.514.2GLM 5V Turbo
Epoch Capabilities IndexNot measured141.4Only Mistral Medium 3.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 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 slides1120Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1152Not measuredOnly GLM 5V Turbo measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom98.5%94.2%GLM 5V Turbo
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)80.9%74.8%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)17.1%13.8%GLM 5V Turbo
LMArena Text: hard prompts14431436GLM 5V Turbo
LMArena Text: expert14531432GLM 5V Turbo
LMArena Text: hard prompts in English14561445GLM 5V Turbo
LMArena Vision: diagrams12861254GLM 5V Turbo
LMArena Vision: homework12731230GLM 5V Turbo
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math14421431GLM 5V Turbo
LMArena Text: mathematical work14471440GLM 5V Turbo
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
LMArena Text: science14481428GLM 5V Turbo
LMArena Text: medicine and healthcare14331409GLM 5V Turbo
LMArena Text: legal and government14361437Mistral Medium 3.5
LMArena Text: business and finance14351426GLM 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 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
Design Arena: websites12301142GLM 5V Turbo
Design Arena: UI components12131079GLM 5V Turbo
Design Arena: game dev12191079GLM 5V Turbo
Design Arena: data viz12021120GLM 5V Turbo
Design Arena: 3D12091061GLM 5V Turbo
Design Arena: all code categories12281122GLM 5V Turbo
Design Arena: SVG1151949GLM 5V Turbo
Design Arena: ASCII art11181062GLM 5V Turbo
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index213
General benchmarks for GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench61.1%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)70.3%69.3%GLM 5V Turbo
DTBenchNot measured75.5%Only Mistral Medium 3.5 measured
LMCANot measured26.1%Only Mistral Medium 3.5 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14371421GLM 5V Turbo
LMArena Text: instruction following14231415GLM 5V Turbo
LMArena Text: creative writing14171374GLM 5V Turbo
LMArena Vision12641222GLM 5V Turbo
LMArena Text: English14541433GLM 5V Turbo
LMArena Text: non-English14201404GLM 5V Turbo
LMArena Text: Chinese14911444GLM 5V Turbo
LMArena Text: German14221453Mistral Medium 3.5
LMArena Text: Korean13971384GLM 5V Turbo
LMArena Text: French14431448Mistral Medium 3.5
LMArena Text: Spanish14521411GLM 5V Turbo
LMArena Text: Russian14321395GLM 5V Turbo
LMArena Text: Polish14321430GLM 5V Turbo
LMArena Text: multi-turn14311423GLM 5V Turbo
LMArena Text: longer queries14381415GLM 5V Turbo
LMArena Text: writing and language14201384GLM 5V Turbo
LMArena Text: entertainment and media14071382GLM 5V Turbo
LMArena Vision: English12741240GLM 5V Turbo
LMArena Vision: Chinese13291244GLM 5V Turbo
LMArena Vision: reading text12701233GLM 5V Turbo
LMArena Vision: humor12681216GLM 5V Turbo
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing12521198GLM 5V Turbo
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
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 GLM 5V Turbo and Mistral Medium 3.5
BenchmarkGLM 5V TurboMistral Medium 3.5Leader
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 3.5$0.0053Fits in one request

GLM 5V Turbo costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Mistral Medium 3.5$0.098Fits in one request

GLM 5V Turbo costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Mistral Medium 3.5$0.375Fits in one request

GLM 5V Turbo 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 3.5
SpecificationZ.ai GLM 5V TurboMistral Medium 3.5
MakerZ.aiMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 1, 2026April 30, 2026
Context window203K262K
Input $/Mtok$1.20$1.50
Output $/Mtok$4.00$7.50
Coding index28.89.2
Independent measurements behind it11
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Mistral Medium 3.5 for coding?

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Pick Mistral Medium 3.5 when the context window is larger, 262K against 203K tokens, or when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: legal and government, where it leads.

Which is cheaper, GLM 5V Turbo or Mistral Medium 3.5?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, GLM 5V Turbo or Mistral Medium 3.5?

Mistral Medium 3.5, with 262K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs Mistral Medium 3.5 comparison based on?

53 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Mistral Medium 3.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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