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GLM 4.7 Flash vs Mistral Small 3.1 24B

GLM 4.7 Flash costs 1.4x less per output token than Mistral Small 3.1 24B ($0.40 vs $0.555 per million). Updated October 21, 2026; 27 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace Mistral Small 3.1 24B
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
27
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 27 shared

GLM 4.7 Flash or Mistral Small 3.1 24B: which to pick

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

Pick GLM 4.7 Flash for output tokens 1.4x cheaper ($0.40 vs $0.555 per million) and a larger context window (200K against 128K tokens).

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
27
GLM 4.7 Flash only
16
Mistral Small 3.1 24B only
11
Like-for-like categories
5 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 4.7 Flash not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
Math, 16.0 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GLM 4.7 Flash 1403 against Mistral Small 3.1 24B 1253, 25.1 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Mistral Small 3.1 24B $0.555 per million output tokens, 1.4x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Mistral Small 3.1 24B 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 4.7 FlashBarsMistral Small 3.1 24BTies
Coding20
Reasoning30
Math20
Knowledge40
General160
All shared boards270
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: coding13821309GLM 4.7 Flash
LMArena Text: software and IT13891301GLM 4.7 Flash
Neither model has a result on the other 36 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
AA Intelligence Index14.9Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
τ²-Bench Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%Not measuredOnly GLM 4.7 Flash measured
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561278GLM 4.7 Flash
LMArena Text: expert13571257GLM 4.7 Flash
LMArena Text: hard prompts in English13691290GLM 4.7 Flash
LMArena Vision: diagramsNot measured1119Only Mistral Small 3.1 24B measured
LMArena Vision: homeworkNot measured1158Only Mistral Small 3.1 24B measured
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 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: math13551261GLM 4.7 Flash
LMArena Text: mathematical work13691271GLM 4.7 Flash
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
LMArena Text: science13581265GLM 4.7 Flash
LMArena Text: medicine and healthcare13431267GLM 4.7 Flash
LMArena Text: legal and government13571271GLM 4.7 Flash
LMArena Text: business and finance13431257GLM 4.7 Flash
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
Design Arena: websites1194Not measuredOnly GLM 4.7 Flash measured
Design Arena: UI components1208Not measuredOnly GLM 4.7 Flash measured
Design Arena: game dev1135Not measuredOnly GLM 4.7 Flash measured
Design Arena: data viz1123Not measuredOnly GLM 4.7 Flash measured
Design Arena: 3D1121Not measuredOnly GLM 4.7 Flash measured
Design Arena: all code categories1178Not measuredOnly GLM 4.7 Flash measured
Design Arena: SVG1038Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%Not measuredOnly GLM 4.7 Flash measured
LMArena Text13511277GLM 4.7 Flash
LMArena Text: instruction following13271263GLM 4.7 Flash
LMArena Text: creative writing12961252GLM 4.7 Flash
LMArena VisionNot measured1136Only Mistral Small 3.1 24B measured
LMArena Text: English13731295GLM 4.7 Flash
LMArena Text: non-English13301255GLM 4.7 Flash
LMArena Text: Chinese14031253GLM 4.7 Flash
LMArena Text: German13361266GLM 4.7 Flash
LMArena Text: JapaneseNot measured1208Only Mistral Small 3.1 24B measured
LMArena Text: Korean12831207GLM 4.7 Flash
LMArena Text: French13321273GLM 4.7 Flash
LMArena Text: Spanish13501284GLM 4.7 Flash
LMArena Text: Russian13331263GLM 4.7 Flash
LMArena Text: Polish12911242GLM 4.7 Flash
LMArena Text: multi-turn13421270GLM 4.7 Flash
LMArena Text: longer queries13451299GLM 4.7 Flash
LMArena Text: writing and language13201268GLM 4.7 Flash
LMArena Text: entertainment and media13041250GLM 4.7 Flash
LMArena Vision: EnglishNot measured1157Only Mistral Small 3.1 24B measured
LMArena Vision: ChineseNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: reading textNot measured1132Only Mistral Small 3.1 24B measured
LMArena Vision: humorNot measured1142Only Mistral Small 3.1 24B measured
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writingNot measured1123Only Mistral Small 3.1 24B measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.7 Flash and Mistral Small 3.1 24B
BenchmarkGLM 4.7 FlashMistral Small 3.1 24BLeader
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 4.7 Flash$0.0003Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
Mistral Small 3.1 24B$0.076Exceeds the context window

GLM 4.7 Flash 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 4.7 Flash and Mistral Small 3.1 24B
SpecificationZ.ai GLM 4.7 FlashMistral Small 3.1 24B
MakerZ.aiMistral AI
WeightsOpen weightsOpen weights
ReleasedJanuary 19, 2026March 17, 2025
Context window200K128K
Input $/Mtok$0.0653$0.351
Output $/Mtok$0.40$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than Mistral Small 3.1 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 1.4x cheaper ($0.40 vs $0.555 per million) and a larger context window (200K against 128K tokens).

Which is cheaper, GLM 4.7 Flash or Mistral Small 3.1 24B?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or Mistral Small 3.1 24B?

GLM 4.7 Flash, with 200K tokens against 128K.

How many benchmarks is the GLM 4.7 Flash vs Mistral Small 3.1 24B comparison based on?

27 benchmarks have a result for both models as of October 21, 2026. GLM 4.7 Flash's coding index rests on 0 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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