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GLM 4.7 Flash vs Mistral Large 4

Mistral Large 4 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 38.4 to 14.9, and GLM 4.7 Flash costs 10.4x less per output token ($0.40 vs $4.18 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace Mistral Large 4
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
0
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
36
vs boards won of 36 shared

GLM 4.7 Flash or Mistral Large 4: which to pick

Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

Pick GLM 4.7 Flash for output tokens 10.4x cheaper ($0.40 vs $4.18 per million).

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
36
GLM 4.7 Flash only
7
Mistral Large 4 only
45
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 4.7 Flash not benchmarked, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Math, 24.8 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: GLM 4.7 Flash 58.3% against Mistral Large 4 98.3%, 40.0 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against Mistral Large 4 $4.18 per million output tokens, 10.4x apart.
Context window
GLM 4.7 Flash takes 200K tokens, Mistral Large 4 1.05M.

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 Large 4Ties
Coding02
Intelligence01
Reasoning05
Math03
Knowledge04
Web design07
General014
All shared boards036
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
LiveBench codingNot measured60.0%Only Mistral Large 4 measured
LMArena WebDevNot measured1543Only Mistral Large 4 measured
Terminal-Bench 4 (Vals AI)Not measured27.8%Only Mistral Large 4 measured
Vibe Code Bench (Vals AI)Not measured78.4%Only Mistral Large 4 measured
Code migration (Vals AI)Not measured30.6%Only Mistral Large 4 measured
IOI (Vals AI)Not measured45.3%Only Mistral Large 4 measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.3%Only Mistral Large 4 measured
SciCodeNot measured54.2%Only Mistral Large 4 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
FrontierCodeNot measured39.4%Only Mistral Large 4 measured
ALE-BenchNot measured1213.2Only Mistral Large 4 measured
LMArena Text: coding13821478Mistral Large 4
LMArena Text: software and IT13891467Mistral Large 4
LMArena WebDev: ReactNot measured1559Only Mistral Large 4 measured
LMArena WebDev: HTMLNot measured1487Only Mistral Large 4 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
AA Intelligence Index14.938.4Mistral Large 4
Epoch Capabilities IndexNot measured150.0Only Mistral Large 4 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
LiveBench researchNot measured28.1%Only Mistral Large 4 measured
LiveBench browserNot measured8.0%Only Mistral Large 4 measured
LiveBench long agenticNot measured11.8%Only Mistral Large 4 measured
Finance Agent (Vals AI)Not measured54.7%Only Mistral Large 4 measured
Tax Agent Bench (Vals AI)Not measured30.4%Only Mistral Large 4 measured
Legal Research Bench (Vals AI)Not measured31.7%Only Mistral Large 4 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured17.5%Only Mistral Large 4 measured
Excel Modeling Benchmark (Vals AI)Not measured56.2%Only Mistral Large 4 measured
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
τ²-Bench Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
LiveBench reasoningNot measured83.9%Only Mistral Large 4 measured
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%35.0%Mistral Large 4
GPQA Diamond (Epoch AI run)60.5%88.1%Mistral Large 4
Chess puzzlesNot measured33.0%Only Mistral Large 4 measured
Mystery game puzzlesNot measured17.0%Only Mistral Large 4 measured
LMArena Text: hard prompts13561444Mistral Large 4
LMArena Text: expert13571444Mistral Large 4
LMArena Text: hard prompts in English13691442Mistral Large 4
LMArena Vision: diagramsNot measured1288Only Mistral Large 4 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
OTIS Mock AIME58.3%98.3%Mistral Large 4
FrontierMath, tiers 1 to 3Not measured58.6%Only Mistral Large 4 measured
FrontierMath, tier 4Not measured26.8%Only Mistral Large 4 measured
ProofBenchNot measured10.0%Only Mistral Large 4 measured
LMArena Text: math13551469Mistral Large 4
LMArena Text: mathematical work13691462Mistral Large 4
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: science13581448Mistral Large 4
LMArena Text: medicine and healthcare13431433Mistral Large 4
LMArena Text: legal and government13571425Mistral Large 4
LMArena Text: business and finance13431439Mistral Large 4
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
Design Arena: websites11941258Mistral Large 4
Design Arena: UI components12081275Mistral Large 4
Design Arena: game dev11351226Mistral Large 4
Design Arena: data viz11231274Mistral Large 4
Design Arena: 3D11211253Mistral Large 4
Design Arena: all code categories11781259Mistral Large 4
Design Arena: SVG10381233Mistral Large 4
Design Arena: ASCII artNot measured1202Only Mistral Large 4 measured
LiveBench designNot measured65.6%Only Mistral Large 4 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for GLM 4.7 Flash and Mistral Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
LiveBench data analysisNot measured76.5%Only Mistral Large 4 measured
MedScribe (Vals AI)Not measured80.4%Only Mistral Large 4 measured
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%81.3%Mistral Large 4
DTBenchNot measured88.2%Only Mistral Large 4 measured
LMCANot measured35.8%Only Mistral Large 4 measured
Surface Evolver BenchNot measured28.1%Only Mistral Large 4 measured
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text13511431Mistral Large 4
LMArena Text: instruction following13271422Mistral Large 4
LMArena Text: creative writing12961363Mistral Large 4
LMArena VisionNot measured1272Only Mistral Large 4 measured
LMArena Text: English13731433Mistral Large 4
LMArena Text: non-English13301422Mistral Large 4
LMArena Text: Chinese14031492Mistral Large 4
LMArena Text: German1336Not measuredOnly GLM 4.7 Flash measured
LMArena Text: JapaneseNot measured1415Only Mistral Large 4 measured
LMArena Text: Korean1283Not measuredOnly GLM 4.7 Flash measured
LMArena Text: French13321492Mistral Large 4
LMArena Text: Spanish13501455Mistral Large 4
LMArena Text: Russian13331417Mistral Large 4
LMArena Text: Polish1291Not measuredOnly GLM 4.7 Flash measured
LMArena Text: multi-turn13421435Mistral Large 4
LMArena Text: longer queries13451428Mistral Large 4
LMArena Text: writing and language13201386Mistral Large 4
LMArena Text: entertainment and media13041378Mistral Large 4
LMArena Vision: EnglishNot measured1283Only Mistral Large 4 measured
LMArena Vision: reading textNot measured1284Only Mistral Large 4 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 Large 4
BenchmarkGLM 4.7 FlashMistral Large 4Leader
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 Large 4$0.0034Fits 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 Large 4$0.081Fits 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 Large 4$0.314Fits 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 Large 4
SpecificationZ.ai GLM 4.7 FlashMistral Large 4
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026October 6, 2026
Context window200K1.05M
Input $/Mtok$0.0653$1.36
Output $/Mtok$0.40$4.18
Coding indexNot benchmarked56.4
Independent measurements behind it05
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than Mistral Large 4 for coding?

Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 10.4x cheaper ($0.40 vs $4.18 per million).

Which is cheaper, GLM 4.7 Flash or Mistral Large 4?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.7 Flash or Mistral Large 4?

Mistral Large 4, with 1.05M tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs Mistral Large 4 comparison based on?

36 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 Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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