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GLM 4.7 Flash vs Mistral Medium 3.5

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 3.5
GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
9
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
14.2
Output $/M
$7.50
32
vs boards won of 41 shared

Decision reading

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

GLM 4.7 Flash has the edge where output tokens cost 18.8x less, and where what matters is AA Intelligence Index or τ²-Bench Telecom, where it leads.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
41
GLM 4.7 Flash only
2
Mistral Medium 3.5 only
39
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 3.5 25.5 from 3 benchmarks.
Widest category
General, 14.0 points apart on average over 18 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.7 Flash 41.7% against Mistral Medium 3.5 69.3%, 27.7 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Mistral Medium 3.5 $7.50 per million output tokens, 18.8x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Mistral Medium 3.5 262K.

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 3.5Ties
Coding03
Intelligence10
Agentic work10
Reasoning05
Math02
Knowledge04
Web design70
General018
All shared boards932
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.7 Flash and Mistral Medium 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%33.3%Mistral Medium 3.5
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding13821460Mistral Medium 3.5
LMArena Text: software and IT13891458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.7 Flash and Mistral Medium 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
AA Intelligence Index14.914.2GLM 4.7 Flash
Epoch Capabilities IndexNot measured141.4Only Mistral Medium 3.5 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 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom98.8%94.2%GLM 4.7 Flash
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.7 Flash and Mistral Medium 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)58.1%74.8%Mistral Medium 3.5
Humanity's Last Exam (Artificial Analysis run)7.6%13.8%Mistral Medium 3.5
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561436Mistral Medium 3.5
LMArena Text: expert13571432Mistral Medium 3.5
LMArena Text: hard prompts in English13691445Mistral Medium 3.5
LMArena Vision: diagramsNot measured1254Only Mistral Medium 3.5 measured
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 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 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math13551431Mistral Medium 3.5
LMArena Text: mathematical work13691440Mistral Medium 3.5
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and Mistral Medium 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)Not measured33.8%Only Mistral Medium 3.5 measured
LMArena Text: science13581428Mistral Medium 3.5
LMArena Text: medicine and healthcare13431409Mistral Medium 3.5
LMArena Text: legal and government13571437Mistral Medium 3.5
LMArena Text: business and finance13431426Mistral Medium 3.5
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GLM 4.7 Flash and Mistral Medium 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
Design Arena: websites11941142GLM 4.7 Flash
Design Arena: UI components12081079GLM 4.7 Flash
Design Arena: game dev11351079GLM 4.7 Flash
Design Arena: data viz11231120GLM 4.7 Flash
Design Arena: 3D11211061GLM 4.7 Flash
Design Arena: all code categories11781121GLM 4.7 Flash
Design Arena: SVG1038950GLM 4.7 Flash
Design Arena: ASCII artNot measured1062Only Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GLM 4.7 Flash and Mistral Medium 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
SAGE (Vals AI)Not measured37.6%Only Mistral Medium 3.5 measured
MedScribe (Vals AI)Not measured67.7%Only Mistral Medium 3.5 measured
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench60.8%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)41.7%69.3%Mistral Medium 3.5
DTBenchNot measured75.5%Only Mistral Medium 3.5 measured
LMCANot measured26.1%Only Mistral Medium 3.5 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text13511421Mistral Medium 3.5
LMArena Text: instruction following13271415Mistral Medium 3.5
LMArena Text: creative writing12961374Mistral Medium 3.5
LMArena VisionNot measured1222Only Mistral Medium 3.5 measured
LMArena Text: English13731433Mistral Medium 3.5
LMArena Text: non-English13301404Mistral Medium 3.5
LMArena Text: Chinese14031444Mistral Medium 3.5
LMArena Text: German13361453Mistral Medium 3.5
LMArena Text: Korean12831384Mistral Medium 3.5
LMArena Text: French13321448Mistral Medium 3.5
LMArena Text: Spanish13501411Mistral Medium 3.5
LMArena Text: Russian13331395Mistral Medium 3.5
LMArena Text: Polish12911430Mistral Medium 3.5
LMArena Text: multi-turn13421423Mistral Medium 3.5
LMArena Text: longer queries13451415Mistral Medium 3.5
LMArena Text: writing and language13201384Mistral Medium 3.5
LMArena Text: entertainment and media13041382Mistral Medium 3.5
LMArena Vision: EnglishNot measured1240Only Mistral Medium 3.5 measured
LMArena Vision: ChineseNot measured1244Only Mistral Medium 3.5 measured
LMArena Vision: reading textNot measured1233Only Mistral Medium 3.5 measured
LMArena Vision: humorNot measured1216Only Mistral Medium 3.5 measured
LMArena Vision: creative writingNot measured1198Only Mistral Medium 3.5 measured
Neither model has a result on the other 16 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 3.5
BenchmarkGLM 4.7 FlashMistral Medium 3.5Leader
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 3.5$0.0053Fits 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 3.5$0.098Fits 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 3.5$0.375Fits in one request

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 3.5
SpecificationZ.ai GLM 4.7 FlashMistral Medium 3.5
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026April 30, 2026
Context window200K262K
Input $/Mtok$0.0653$1.50
Output $/Mtok$0.40$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it03
Cost per solved taskNot computable$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than Mistral Medium 3.5 for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. GLM 4.7 Flash has the edge where output tokens cost 18.8x less, and where what matters is AA Intelligence Index or τ²-Bench Telecom, where it leads.

Which is cheaper, GLM 4.7 Flash or Mistral Medium 3.5?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Cost per solved task is known for Mistral Medium 3.5 only.

Which has the bigger context window, GLM 4.7 Flash or Mistral Medium 3.5?

Mistral Medium 3.5, with 262K tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs Mistral Medium 3.5 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 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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