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GLM 5 vs Mistral Large

GLM 5 leads Mistral Large on the Artificial Analysis Intelligence Index, 27.9 to 5.8, and GLM 5 costs 1.9x less per output token ($3.20 vs $6.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace GLM 5 Replace Mistral Large
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
38
Mistral LargeMistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
0
vs boards won of 38 shared

GLM 5 or Mistral Large: which to pick

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; Mistral Large has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BMistral LargeMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GLM 5 only
38
Mistral Large only
6
Like-for-like categories
6 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 not benchmarked.
Widest category
Math, 48.2 points apart on average over 3 shared benchmarks.
Widest single gap
AIME: GLM 5 91.7% against Mistral Large 9.2%, 82.5 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Mistral Large $6.00 per million output tokens, 1.9x apart.
Context window
GLM 5 takes 205K tokens, Mistral Large 128K.

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 LargeTies
Coding30
Intelligence20
Reasoning60
Math30
Knowledge70
General170
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev1435Not measuredOnly GLM 5 measured
LiveCodeBench (Vals AI)81.9%37.1%GLM 5
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Vibe Code Bench (Vals AI)23.4%Not measuredOnly GLM 5 measured
LiveCodeBench (Artificial Analysis run)Not measured17.8%Only Mistral Large measured
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding14611275GLM 5
LMArena Text: software and IT14601274GLM 5
LMArena WebDev: React1424Not measuredOnly GLM 5 measured
LMArena WebDev: HTML1450Not measuredOnly GLM 5 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
AA Intelligence Index27.95.8GLM 5
Epoch Capabilities Index145.8122.1GLM 5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
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 apps1146Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1148Not measuredOnly GLM 5 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 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
GPQA Diamond83.3%47.7%GLM 5
GPQA Diamond (Artificial Analysis run)82.0%35.1%GLM 5
Humanity's Last Exam (Artificial Analysis run)29.3%3.5%GLM 5
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
LMArena Text: hard prompts14521257GLM 5
LMArena Text: expert14541208GLM 5
LMArena Text: hard prompts in English14601268GLM 5
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
AIME91.7%9.2%GLM 5
MATH 500 (Vals AI)Not measured74.4%Only Mistral Large measured
MGSM (Vals AI)Not measured87.2%Only Mistral Large measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
LMArena Text: math14401261GLM 5
LMArena Text: mathematical work14511257GLM 5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
MMLU Pro86.0%69.7%GLM 5
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%63.8%GLM 5
MedQA (Vals AI)94.3%76.2%GLM 5
MMLU Pro (Artificial Analysis run)Not measured51.5%Only Mistral Large measured
MMLUNot measured68.8%Only Mistral Large measured
LMArena Text: science14601260GLM 5
LMArena Text: medicine and healthcare14551255GLM 5
LMArena Text: legal and government14531275GLM 5
LMArena Text: business and finance14301238GLM 5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
Design Arena: websites1247Not measuredOnly GLM 5 measured
Design Arena: UI components1230Not measuredOnly GLM 5 measured
Design Arena: game dev1234Not measuredOnly GLM 5 measured
Design Arena: data viz1228Not measuredOnly GLM 5 measured
Design Arena: 3D1229Not measuredOnly GLM 5 measured
Design Arena: all code categories1246Not measuredOnly GLM 5 measured
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1147Not measuredOnly GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for GLM 5 and Mistral Large
BenchmarkGLM 5Mistral LargeLeader
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%Not measuredOnly GLM 5 measured
DTBenchNot measured60.8%Only Mistral Large measured
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461265GLM 5
LMArena Text: instruction following14281249GLM 5
LMArena Text: creative writing14381242GLM 5
LMArena Text: English14581284GLM 5
LMArena Text: non-English14301235GLM 5
LMArena Text: Chinese15111239GLM 5
LMArena Text: German14471242GLM 5
LMArena Text: Japanese14161170GLM 5
LMArena Text: Korean14231202GLM 5
LMArena Text: French14561325GLM 5
LMArena Text: Spanish14541268GLM 5
LMArena Text: Russian14361252GLM 5
LMArena Text: Polish14341157GLM 5
LMArena Text: multi-turn14561260GLM 5
LMArena Text: longer queries14461261GLM 5
LMArena Text: writing and language14371261GLM 5
LMArena Text: entertainment and media14261230GLM 5
Neither model has a result on the other 25 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
BenchmarkGLM 5Mistral LargeLeader
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$0.0050Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Mistral Large$0.118Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Mistral Large$0.460Exceeds the context window

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
SpecificationZ.ai GLM 5Mistral Large
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedFebruary 11, 2026February 26, 2024
Context window205K128K
Input $/Mtok$1.00$2.00
Output $/Mtok$3.20$6.00
Coding index41.7Not benchmarked
Independent measurements behind it30
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Mistral Large for coding?

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; Mistral Large has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5 or Mistral Large?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Mistral Large costs $2.00 and $6.00. Cost per solved task is known for GLM 5 only.

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

GLM 5, with 205K tokens against 128K.

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

38 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 3 independent benchmarks and Mistral Large's on 0. Where only one model has a result, the page says so instead of naming a winner.

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