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GLM 4.7 Flash vs Mistral Medium 3.1

Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.7 Flash Replace Mistral Medium 3.1
GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
11
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
30
vs boards won of 41 shared

Decision reading

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

GLM 4.7 Flash has the edge where output tokens cost 5.0x less, and where the context window is larger, 200K against 131K tokens.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
GLM 4.7 Flash only
2
Mistral Medium 3.1 only
33
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 3.1 not benchmarked.
Widest category
Agentic work, 58.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.7 Flash 98.8% against Mistral Medium 3.1 40.6%, 58.2 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Mistral Medium 3.1 $2.00 per million output tokens, 5.0x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Mistral Medium 3.1 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 3.1Ties
Coding12
Intelligence10
Agentic work10
Reasoning14
Math02
Knowledge04
Web design61
General117
All shared boards1130
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)Not measured40.6%Only Mistral Medium 3.1 measured
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%10.6%GLM 4.7 Flash
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding13821433Mistral Medium 3.1
LMArena Text: software and IT13891436Mistral Medium 3.1
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
AA Intelligence Index14.99.2GLM 4.7 Flash
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 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom98.8%40.6%GLM 4.7 Flash
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)58.1%58.8%Mistral Medium 3.1
Humanity's Last Exam (Artificial Analysis run)7.6%4.7%GLM 4.7 Flash
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561426Mistral Medium 3.1
LMArena Text: expert13571408Mistral Medium 3.1
LMArena Text: hard prompts in English13691435Mistral Medium 3.1
LMArena Vision: diagramsNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: homeworkNot measured1165Only Mistral Medium 3.1 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math IndexNot measured38.3Only Mistral Medium 3.1 measured
AIME 2025 (Artificial Analysis run)Not measured38.3%Only Mistral Medium 3.1 measured
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: math13551408Mistral Medium 3.1
LMArena Text: mathematical work13691412Mistral Medium 3.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MMLU Pro (Artificial Analysis run)Not measured68.3%Only Mistral Medium 3.1 measured
LMArena Text: science13581444Mistral Medium 3.1
LMArena Text: medicine and healthcare13431449Mistral Medium 3.1
LMArena Text: legal and government13571439Mistral Medium 3.1
LMArena Text: business and finance13431418Mistral Medium 3.1
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
Design Arena: websites11941133GLM 4.7 Flash
Design Arena: UI components12081099GLM 4.7 Flash
Design Arena: game dev11351074GLM 4.7 Flash
Design Arena: data viz11231144Mistral Medium 3.1
Design Arena: 3D11211081GLM 4.7 Flash
Design Arena: all code categories11781120GLM 4.7 Flash
Design Arena: SVG1038993GLM 4.7 Flash
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
General benchmarks for GLM 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
IFBench60.8%39.8%GLM 4.7 Flash
Long context reasoning (AA-LCR)41.7%42.7%Mistral Medium 3.1
DTBenchNot measured67.5%Only Mistral Medium 3.1 measured
LMCANot measured19.1%Only Mistral Medium 3.1 measured
LMArena Text13511424Mistral Medium 3.1
LMArena Text: instruction following13271398Mistral Medium 3.1
LMArena Text: creative writing12961391Mistral Medium 3.1
LMArena VisionNot measured1172Only Mistral Medium 3.1 measured
LMArena Text: English13731438Mistral Medium 3.1
LMArena Text: non-English13301408Mistral Medium 3.1
LMArena Text: Chinese14031447Mistral Medium 3.1
LMArena Text: German13361432Mistral Medium 3.1
LMArena Text: JapaneseNot measured1379Only Mistral Medium 3.1 measured
LMArena Text: Korean12831380Mistral Medium 3.1
LMArena Text: French13321460Mistral Medium 3.1
LMArena Text: Spanish13501433Mistral Medium 3.1
LMArena Text: Russian13331411Mistral Medium 3.1
LMArena Text: Polish12911430Mistral Medium 3.1
LMArena Text: multi-turn13421418Mistral Medium 3.1
LMArena Text: longer queries13451406Mistral Medium 3.1
LMArena Text: writing and language13201395Mistral Medium 3.1
LMArena Text: entertainment and media13041390Mistral Medium 3.1
LMArena Vision: EnglishNot measured1179Only Mistral Medium 3.1 measured
LMArena Vision: ChineseNot measured1190Only Mistral Medium 3.1 measured
LMArena Vision: reading textNot measured1175Only Mistral Medium 3.1 measured
LMArena Vision: humorNot measured1168Only Mistral Medium 3.1 measured
LMArena Vision: captioningNot measured1145Only Mistral Medium 3.1 measured
LMArena Vision: recognizing thingsNot measured1147Only Mistral Medium 3.1 measured
LMArena Vision: creative writingNot measured1200Only Mistral Medium 3.1 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 4.7 Flash and Mistral Medium 3.1
BenchmarkGLM 4.7 FlashMistral Medium 3.1Leader
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 3.1$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 3.1$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 3.1$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 3.1
SpecificationZ.ai GLM 4.7 FlashMistral Medium 3.1
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026August 13, 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 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. GLM 4.7 Flash has the edge where output tokens cost 5.0x less, and where the context window is larger, 200K against 131K tokens.

Which is cheaper, GLM 4.7 Flash or Mistral Medium 3.1?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.1 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 3.1?

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

How many benchmarks is the GLM 4.7 Flash vs Mistral Medium 3.1 comparison based on?

41 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 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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