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GLM 4.5 Air vs Mistral Small 3

GLM 4.5 Air leads Mistral Small 3 on the Artificial Analysis Intelligence Index, 11.1 to 6.7, and Mistral Small 3 costs 13.8x less per output token ($0.08 vs $1.10 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace GLM 4.5 Air Replace Mistral Small 3
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
36
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
0
vs boards won of 36 shared

GLM 4.5 Air or Mistral Small 3: which to pick

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

Pick GLM 4.5 Air for a larger context window (131K against 33K tokens).

Model AGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
36
GLM 4.5 Air only
12
Mistral Small 3 only
0
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 4.5 Air not benchmarked, Mistral Small 3 not benchmarked.
Widest category
Math, 51.0 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: GLM 4.5 Air 80.7 against Mistral Small 3 4.3, 76.4 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against Mistral Small 3 $0.08 per million output tokens, 13.8x apart.
Context window
GLM 4.5 Air takes 131K tokens, Mistral Small 3 33K.

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 4.5 AirBarsMistral Small 3Ties
Coding30
Intelligence10
Agentic work10
Reasoning50
Math40
Knowledge50
General170
All shared boards360
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
LiveCodeBench (Artificial Analysis run)68.4%25.2%GLM 4.5 Air
Terminal-Bench Hard (Artificial Analysis run)20.5%Not measuredOnly GLM 4.5 Air measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
LMArena Text: coding13971246GLM 4.5 Air
LMArena Text: software and IT14011248GLM 4.5 Air
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
AA Intelligence Index11.16.7GLM 4.5 Air
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 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
τ²-Bench Telecom46.5%19.6%GLM 4.5 Air
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
GPQA Diamond (Artificial Analysis run)73.3%46.2%GLM 4.5 Air
Humanity's Last Exam (Artificial Analysis run)7.0%3.8%GLM 4.5 Air
LMArena Text: hard prompts13791233GLM 4.5 Air
LMArena Text: expert13701202GLM 4.5 Air
LMArena Text: hard prompts in English13881243GLM 4.5 Air
Kagi LLM Benchmark43.0%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
AA Math Index80.74.3GLM 4.5 Air
AIME 2025 (Artificial Analysis run)80.7%4.3%GLM 4.5 Air
LMArena Text: math13961240GLM 4.5 Air
LMArena Text: mathematical work13961243GLM 4.5 Air
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
MMLU Pro (Artificial Analysis run)81.5%65.2%GLM 4.5 Air
LMArena Text: science14071235GLM 4.5 Air
LMArena Text: medicine and healthcare14021215GLM 4.5 Air
LMArena Text: legal and government13821219GLM 4.5 Air
LMArena Text: business and finance13711205GLM 4.5 Air
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
Design Arena: websites1146Not measuredOnly GLM 4.5 Air measured
Design Arena: UI components1120Not measuredOnly GLM 4.5 Air measured
Design Arena: game dev1094Not measuredOnly GLM 4.5 Air measured
Design Arena: data viz1186Not measuredOnly GLM 4.5 Air measured
Design Arena: 3D1122Not measuredOnly GLM 4.5 Air measured
Design Arena: all code categories1137Not measuredOnly GLM 4.5 Air measured
Design Arena: SVG1071Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
IFBench37.6%26.4%GLM 4.5 Air
Long context reasoning (AA-LCR)46.7%0.0%GLM 4.5 Air
LMArena Text13841234GLM 4.5 Air
LMArena Text: instruction following13541214GLM 4.5 Air
LMArena Text: creative writing13431194GLM 4.5 Air
LMArena Text: English13971256GLM 4.5 Air
LMArena Text: non-English13661198GLM 4.5 Air
LMArena Text: Chinese14261204GLM 4.5 Air
LMArena Text: German13771211GLM 4.5 Air
LMArena Text: Japanese13481111GLM 4.5 Air
LMArena Text: Korean13081188GLM 4.5 Air
LMArena Text: French14001204GLM 4.5 Air
LMArena Text: Spanish1385Not measuredOnly GLM 4.5 Air measured
LMArena Text: Russian13731216GLM 4.5 Air
LMArena Text: Polish1368Not measuredOnly GLM 4.5 Air measured
LMArena Text: multi-turn13711217GLM 4.5 Air
LMArena Text: longer queries13661246GLM 4.5 Air
LMArena Text: writing and language13541214GLM 4.5 Air
LMArena Text: entertainment and media13391184GLM 4.5 Air
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and Mistral Small 3
BenchmarkGLM 4.5 AirMistral Small 3Leader
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 4.5 Air$0.0008Fits in one request
Mistral Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
Mistral Small 3$0.0027Exceeds the context window

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
Mistral Small 3$0.011Exceeds the context window

Mistral Small 3 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 4.5 Air and Mistral Small 3
SpecificationZ.ai GLM 4.5 AirMistral Small 3
MakerZ.aiMistral AI
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025January 30, 2025
Context window131K33K
Input $/Mtok$0.20$0.05
Output $/Mtok$1.10$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than Mistral Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5 Air for a larger context window (131K against 33K tokens).

Which is cheaper, GLM 4.5 Air or Mistral Small 3?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.5 Air or Mistral Small 3?

GLM 4.5 Air, with 131K tokens against 33K.

How many benchmarks is the GLM 4.5 Air vs Mistral Small 3 comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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