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GLM 4.7 Flash vs Mistral Medium 3

GLM 4.7 Flash leads Mistral Medium 3 on the Artificial Analysis Intelligence Index, 14.9 to 9.0, and GLM 4.7 Flash costs 5.0x less per output token ($0.40 vs $2.00 per million). Updated October 21, 2026; 40 benchmarks have a result for both.

GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
18
Mistral Medium 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$2.00
22
vs boards won of 40 shared

GLM 4.7 Flash or Mistral Medium 3: 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 5.0x cheaper ($0.40 vs $2.00 per million) and a larger context window (200K against 131K tokens).

Shared results
40
GLM 4.7 Flash only
3
Mistral Medium 3 only
17
Like-for-like categories
8 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 Medium 3 not benchmarked.
Widest category
Agentic work, 74.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.7 Flash 98.8% against Mistral Medium 3 24.3%, 74.6 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Mistral Medium 3 $2.00 per million output tokens, 5.0x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Mistral Medium 3 131K.

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 Medium 3Ties
Coding21
Intelligence10
Agentic work10
Reasoning32
Math20
Knowledge04
Web design60
General315
All shared boards1822
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
LiveCodeBench (Artificial Analysis run)Not measured40.0%Only Mistral Medium 3 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%3.8%GLM 4.7 Flash
LMArena Text: coding13821385Mistral Medium 3
LMArena Text: software and IT13891385GLM 4.7 Flash
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
AA Intelligence Index14.99.0GLM 4.7 Flash
Epoch Capabilities IndexNot measured134.0Only Mistral Medium 3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
τ²-Bench Telecom98.8%24.3%GLM 4.7 Flash
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
GPQA Diamond (Artificial Analysis run)58.1%57.8%GLM 4.7 Flash
Humanity's Last Exam (Artificial Analysis run)7.6%4.1%GLM 4.7 Flash
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561364Mistral Medium 3
LMArena Text: expert13571342GLM 4.7 Flash
LMArena Text: hard prompts in English13691374Mistral Medium 3
LMArena Vision: diagramsNot measured1155Only Mistral Medium 3 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3 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 Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
AA Math IndexNot measured30.3Only Mistral Medium 3 measured
AIME 2025 (Artificial Analysis run)Not measured30.3%Only Mistral Medium 3 measured
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: math13551353GLM 4.7 Flash
LMArena Text: mathematical work13691354GLM 4.7 Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
MMLU Pro (Artificial Analysis run)Not measured76.0%Only Mistral Medium 3 measured
LMArena Text: science13581381Mistral Medium 3
LMArena Text: medicine and healthcare13431381Mistral Medium 3
LMArena Text: legal and government13571384Mistral Medium 3
LMArena Text: business and finance13431352Mistral Medium 3
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
Design Arena: websites11941079GLM 4.7 Flash
Design Arena: UI components12081024GLM 4.7 Flash
Design Arena: game dev11351018GLM 4.7 Flash
Design Arena: data viz11231034GLM 4.7 Flash
Design Arena: 3D11211084GLM 4.7 Flash
Design Arena: all code categories11781069GLM 4.7 Flash
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 index315
General benchmarks for GLM 4.7 Flash and Mistral Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 3Leader
IFBench60.8%39.3%GLM 4.7 Flash
Long context reasoning (AA-LCR)41.7%31.3%GLM 4.7 Flash
DTBenchNot measured62.3%Only Mistral Medium 3 measured
LMArena Text13511370Mistral Medium 3
LMArena Text: instruction following13271338Mistral Medium 3
LMArena Text: creative writing12961343Mistral Medium 3
LMArena VisionNot measured1157Only Mistral Medium 3 measured
LMArena Text: English13731385Mistral Medium 3
LMArena Text: non-English13301353Mistral Medium 3
LMArena Text: Chinese14031374GLM 4.7 Flash
LMArena Text: German13361377Mistral Medium 3
LMArena Text: JapaneseNot measured1316Only Mistral Medium 3 measured
LMArena Text: Korean12831304Mistral Medium 3
LMArena Text: French13321368Mistral Medium 3
LMArena Text: Spanish13501364Mistral Medium 3
LMArena Text: Russian13331359Mistral Medium 3
LMArena Text: Polish12911371Mistral Medium 3
LMArena Text: multi-turn13421384Mistral Medium 3
LMArena Text: longer queries13451360Mistral Medium 3
LMArena Text: writing and language13201352Mistral Medium 3
LMArena Text: entertainment and media13041335Mistral Medium 3
LMArena Vision: EnglishNot measured1172Only Mistral Medium 3 measured
LMArena Vision: ChineseNot measured1161Only Mistral Medium 3 measured
LMArena Vision: reading textNot measured1154Only Mistral Medium 3 measured
LMArena Vision: humorNot measured1145Only Mistral Medium 3 measured
LMArena Vision: captioningNot measured1094Only Mistral Medium 3 measured
LMArena Vision: recognizing thingsNot measured1141Only Mistral Medium 3 measured
LMArena Vision: creative writingNot measured1146Only Mistral Medium 3 measured
Neither model has a result on the other 18 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 Medium 3
BenchmarkGLM 4.7 FlashMistral Medium 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 4.7 Flash$0.0003Fits in one request
Mistral Medium 3$0.0014Fits 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 Medium 3$0.026Fits 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 Medium 3$0.100Exceeds 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 Medium 3
SpecificationZ.ai GLM 4.7 FlashMistral Medium 3
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026May 7, 2025
Context window200K131K
Input $/Mtok$0.0653$0.40
Output $/Mtok$0.40$2.00
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 Medium 3 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 5.0x cheaper ($0.40 vs $2.00 per million) and a larger context window (200K against 131K tokens).

Which is cheaper, GLM 4.7 Flash or Mistral Medium 3?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or Mistral Medium 3?

GLM 4.7 Flash, with 200K tokens against 131K.

How many benchmarks is the GLM 4.7 Flash vs Mistral Medium 3 comparison based on?

40 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 Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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