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GLM 5 vs Mistral Large 4

Mistral Large 4 leads GLM 5 on coding, 56.4 to 41.7 on the Vibe Coding Index, and GLM 5 costs 1.3x less per output token ($3.20 vs $4.18 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace GLM 5 Replace Mistral Large 4
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
19
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
25
vs boards won of 44 shared

GLM 5 or Mistral Large 4: which to pick

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 41.7 for GLM 5.

Pick GLM 5 for output tokens 1.3x cheaper ($3.20 vs $4.18 per million) and work measured by LMArena Text: hard prompts or LMArena Text: expert, where it leads.

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
44
GLM 5 only
32
Mistral Large 4 only
37
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 5 41.7 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Coding, 16.8 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5 23.4% against Mistral Large 4 78.4%, 55.0 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Mistral Large 4 $4.18 per million output tokens, 1.3x apart.
Context window
GLM 5 takes 205K tokens, Mistral Large 4 1.05M.

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 5BarsMistral Large 4Ties
Coding07
Intelligence02
Reasoning32
Math03
Knowledge31
Web design17
General123
All shared boards1925
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDev14351543Mistral Large 4
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)23.4%78.4%Mistral Large 4
Code migration (Vals AI)Not measured30.6%Only Mistral Large 4 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
SciCodeNot measured54.2%Only Mistral Large 4 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.61213.2Mistral Large 4
LMArena Text: coding14611478Mistral Large 4
LMArena Text: software and IT14601467Mistral Large 4
LMArena WebDev: React14241559Mistral Large 4
LMArena WebDev: HTML14501487Mistral Large 4
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
AA Intelligence Index27.938.4Mistral Large 4
Epoch Capabilities Index145.8150.0Mistral Large 4
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1147Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1098Not measuredOnly GLM 5 measured
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)Not measured54.7%Only Mistral Large 4 measured
Tax Agent Bench (Vals AI)Not measured30.4%Only Mistral Large 4 measured
Legal Research Bench (Vals AI)Not measured31.7%Only Mistral Large 4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)Not measured56.2%Only Mistral Large 4 measured
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
τ²-Bench Telecom98.2%Not measuredOnly GLM 5 measured
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
GPQA Diamond (Artificial Analysis run)82.0%Not measuredOnly GLM 5 measured
Humanity's Last Exam (Artificial Analysis run)29.3%35.0%Mistral Large 4
GPQA Diamond (Epoch AI run)87.8%88.1%Mistral Large 4
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
Chess puzzlesNot measured33.0%Only Mistral Large 4 measured
Mystery game puzzlesNot measured17.0%Only Mistral Large 4 measured
LMArena Text: hard prompts14521444GLM 5
LMArena Text: expert14541444GLM 5
LMArena Text: hard prompts in English14601442GLM 5
LMArena Vision: diagramsNot measured1288Only Mistral Large 4 measured
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%98.3%Mistral Large 4
FrontierMath, tiers 1 to 3Not measured58.6%Only Mistral Large 4 measured
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBenchNot measured10.0%Only Mistral Large 4 measured
LMArena Text: math14401469Mistral Large 4
LMArena Text: mathematical work14511462Mistral Large 4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
MMLU Pro86.0%Not measuredOnly GLM 5 measured
LegalBench (Vals AI)84.1%Not measuredOnly GLM 5 measured
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%Not measuredOnly GLM 5 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: science14601448GLM 5
LMArena Text: medicine and healthcare14551433GLM 5
LMArena Text: legal and government14531425GLM 5
LMArena Text: business and finance14301439Mistral 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 index17
Web design benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
Design Arena: websites12471257Mistral Large 4
Design Arena: UI components12271272Mistral Large 4
Design Arena: game dev12341225GLM 5
Design Arena: data viz12281275Mistral Large 4
Design Arena: 3D12281252Mistral Large 4
Design Arena: all code categories12461259Mistral Large 4
Design Arena: SVG11681232Mistral Large 4
Design Arena: ASCII art11471202Mistral Large 4
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index123
General benchmarks for GLM 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
MedScribe (Vals AI)Not measured80.4%Only Mistral Large 4 measured
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%81.3%Mistral Large 4
DTBenchNot measured88.2%Only Mistral Large 4 measured
LMCANot measured35.8%Only Mistral Large 4 measured
CL-bench18.7%Not measuredOnly GLM 5 measured
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text14461431GLM 5
LMArena Text: instruction following14281422GLM 5
LMArena Text: creative writing14381363GLM 5
LMArena VisionNot measured1272Only Mistral Large 4 measured
LMArena Text: English14581433GLM 5
LMArena Text: non-English14301422GLM 5
LMArena Text: Chinese15111492GLM 5
LMArena Text: German1447Not measuredOnly GLM 5 measured
LMArena Text: Japanese14161415GLM 5
LMArena Text: Korean1423Not measuredOnly GLM 5 measured
LMArena Text: French14561492Mistral Large 4
LMArena Text: Spanish14541455Mistral Large 4
LMArena Text: Russian14361417GLM 5
LMArena Text: Polish1434Not measuredOnly GLM 5 measured
LMArena Text: multi-turn14561435GLM 5
LMArena Text: longer queries14461428GLM 5
LMArena Text: writing and language14371386GLM 5
LMArena Text: entertainment and media14261378GLM 5
LMArena Vision: EnglishNot measured1283Only Mistral Large 4 measured
LMArena Vision: reading textNot measured1284Only Mistral Large 4 measured
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 5 and Mistral Large 4
BenchmarkGLM 5Mistral Large 4Leader
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 5$0.0026Fits in one request
Mistral Large 4$0.0034Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Mistral Large 4$0.081Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Mistral Large 4$0.314Fits in one request

GLM 5 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 5 and Mistral Large 4
SpecificationZ.ai GLM 5Mistral Large 4
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedFebruary 11, 2026October 6, 2026
Context window205K1.05M
Input $/Mtok$1.00$1.36
Output $/Mtok$3.20$4.18
Coding index41.756.4
Independent measurements behind it35
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Mistral Large 4 for coding?

Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 41.7 for GLM 5. Pick GLM 5 for output tokens 1.3x cheaper ($3.20 vs $4.18 per million) and work measured by LMArena Text: hard prompts or LMArena Text: expert, where it leads.

Which is cheaper, GLM 5 or Mistral Large 4?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5 vs Mistral Large 4 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. GLM 5's coding index rests on 3 independent benchmarks and Mistral Large 4's on 5. 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/glm-5-vs-mistral-large-4-0">LLMBenchmark.ai, GLM 5 vs Mistral Large 4</a></p>