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GLM 5.3 Flash vs Mistral Large 4

GLM 5.3 Flash leads Mistral Large 4 on coding, 57.7 to 56.4 on the Vibe Coding Index, and GLM 5.3 Flash costs 8.4x less per output token ($0.50 vs $4.18 per million). Updated October 22, 2026; 73 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace Mistral Large 4
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
56
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
17
vs boards won of 73 shared

GLM 5.3 Flash or Mistral Large 4: which to pick

GLM 5.3 Flash and Mistral Large 4 are level for coding, 57.7 against 56.4 on the Vibe Coding Index, so price and context decide.

Pick Mistral Large 4 for work measured by Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads. Pick GLM 5.3 Flash for output tokens 8.4x cheaper ($0.50 vs $4.18 per million) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
73
GLM 5.3 Flash only
29
Mistral Large 4 only
8
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 5.3 Flash 57.7 from 6 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 20.0 points apart on average over 8 shared benchmarks.
Widest single gap
LiveBench browser: GLM 5.3 Flash 84.0% against Mistral Large 4 8.0%, 76.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Mistral Large 4 $4.18 per million output tokens, 8.4x apart.
Context window
Both take 1.05M tokens.

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 5.3 FlashBarsMistral Large 4Ties
Coding95
Intelligence20
Agentic work62
Reasoning63
Math33
Knowledge40
Web design81
General183
All shared boards5617
CodingLike-for-likeSix of these boards feed the Vibe Coding Index95
Coding benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
LiveBench coding80.6%60.0%GLM 5.3 Flash
LMArena WebDev16071543GLM 5.3 Flash
AA Coding Index71.5Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)92.0%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)37.4%27.8%GLM 5.3 Flash
Vibe Code Bench (Vals AI)30.8%78.4%Mistral Large 4
Code migration (Vals AI)20.5%30.6%Mistral Large 4
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%45.3%GLM 5.3 Flash
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Multimodal (Vals AI)Not measured33.1%Only Mistral Large 4 measured
Vibe Code Bench 1-100 (Vals AI)16.0%14.3%GLM 5.3 Flash
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%54.2%Mistral Large 4
FrontierCode31.8%39.4%Mistral Large 4
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.61213.2Mistral Large 4
LMArena Text: coding15071478GLM 5.3 Flash
LMArena Text: software and IT15001467GLM 5.3 Flash
LMArena WebDev: React16241559GLM 5.3 Flash
LMArena WebDev: HTML15771487GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
AA Intelligence Index41.838.4GLM 5.3 Flash
Epoch Capabilities Index153.1150.0GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index62
Agentic work benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
LiveBench research70.1%28.1%GLM 5.3 Flash
LiveBench browser84.0%8.0%GLM 5.3 Flash
LiveBench long agentic28.4%11.8%GLM 5.3 Flash
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%54.7%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%30.4%GLM 5.3 Flash
Legal Research Bench (Vals AI)45.2%31.7%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%17.5%Mistral Large 4
Excel Modeling Benchmark (Vals AI)55.9%56.2%Mistral Large 4
BioMysteryBench (Vals AI)Not measured67.0%Only Mistral Large 4 measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%83.9%Mistral Large 4
MysteryMechanism (Vals AI)Not measured12.2%Only Mistral Large 4 measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%Not measuredOnly GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)39.9%35.0%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%88.1%GLM 5.3 Flash
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%33.0%Mistral Large 4
Mystery game puzzles8.0%17.0%Mistral Large 4
LMArena Text: hard prompts14901444GLM 5.3 Flash
LMArena Text: expert15111444GLM 5.3 Flash
LMArena Text: hard prompts in English14881442GLM 5.3 Flash
LMArena Vision: diagrams13171288GLM 5.3 Flash
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index33
Math benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
OTIS Mock AIME93.9%98.3%Mistral Large 4
FrontierMath, tiers 1 to 355.8%58.6%Mistral Large 4
FrontierMath, tier 417.1%26.8%Mistral Large 4
ProofBench21.0%10.0%GLM 5.3 Flash
LMArena Text: math15031469GLM 5.3 Flash
LMArena Text: mathematical work14971462GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
MMLU Pro86.1%Not measuredOnly GLM 5.3 Flash measured
LegalBench (Vals AI)83.9%Not measuredOnly GLM 5.3 Flash measured
TaxEval (Vals AI)75.6%Not measuredOnly GLM 5.3 Flash measured
MedCode (Vals AI)Not measured40.7%Only Mistral Large 4 measured
SimpleQA VerifiedNot measured20.0%Only Mistral Large 4 measured
LMArena Text: science14841448GLM 5.3 Flash
LMArena Text: medicine and healthcare14751433GLM 5.3 Flash
LMArena Text: legal and government14731425GLM 5.3 Flash
LMArena Text: business and finance14601439GLM 5.3 Flash
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index81
Web design benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
Design Arena: websites12721257GLM 5.3 Flash
Design Arena: UI components13161272GLM 5.3 Flash
Design Arena: game dev12781225GLM 5.3 Flash
Design Arena: data viz12621275Mistral Large 4
Design Arena: 3D13161252GLM 5.3 Flash
Design Arena: all code categories12821259GLM 5.3 Flash
Design Arena: SVG12851232GLM 5.3 Flash
Design Arena: ASCII art12671202GLM 5.3 Flash
LiveBench design77.2%65.6%GLM 5.3 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
General benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 FlashMistral Large 4Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%76.5%Mistral Large 4
MedScribe (Vals AI)88.9%80.4%GLM 5.3 Flash
Long context reasoning (AA-LCR)80.0%81.3%Mistral Large 4
DTBenchNot measured88.2%Only Mistral Large 4 measured
LMCANot measured35.8%Only Mistral Large 4 measured
Surface Evolver Bench52.5%28.1%GLM 5.3 Flash
Furniture assemblyNot measured20.8%Only Mistral Large 4 measured
LMArena Text14711431GLM 5.3 Flash
LMArena Text: instruction following14781422GLM 5.3 Flash
LMArena Text: creative writing14411363GLM 5.3 Flash
LMArena Vision12941272GLM 5.3 Flash
LMArena Text: English14741433GLM 5.3 Flash
LMArena Text: non-English14621422GLM 5.3 Flash
LMArena Text: Chinese15311492GLM 5.3 Flash
LMArena Text: German1462Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Japanese14441415GLM 5.3 Flash
LMArena Text: Korean1436Not measuredOnly GLM 5.3 Flash measured
LMArena Text: French14911492Mistral Large 4
LMArena Text: Spanish14751455GLM 5.3 Flash
LMArena Text: Russian14651417GLM 5.3 Flash
LMArena Text: Polish1450Not measuredOnly GLM 5.3 Flash measured
LMArena Text: multi-turn14691435GLM 5.3 Flash
LMArena Text: longer queries14811428GLM 5.3 Flash
LMArena Text: writing and language14551386GLM 5.3 Flash
LMArena Text: entertainment and media14401378GLM 5.3 Flash
LMArena Vision: English12951283GLM 5.3 Flash
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text12991284GLM 5.3 Flash
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Mistral Large 4
BenchmarkGLM 5.3 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 5.3 Flash$0.0004Fits in one request
Mistral Large 4$0.0034Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Mistral Large 4$0.081Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Mistral Large 4$0.314Fits in one request

GLM 5.3 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 5.3 Flash and Mistral Large 4
SpecificationZ.ai GLM 5.3 FlashMistral Large 4
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$1.36
Output $/Mtok$0.50$4.18
Coding index57.756.4
Independent measurements behind it65
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Mistral Large 4 for coding?

GLM 5.3 Flash and Mistral Large 4 are level for coding, 57.7 against 56.4 on the Vibe Coding Index, so price and context decide. Pick Mistral Large 4 for work measured by Vibe Code Bench (Vals AI) or Code migration (Vals AI), where it leads. Pick GLM 5.3 Flash for output tokens 8.4x cheaper ($0.50 vs $4.18 per million) and work measured by LiveBench coding or LMArena WebDev, where it leads.

Which is cheaper, GLM 5.3 Flash or Mistral Large 4?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, GLM 5.3 Flash or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the GLM 5.3 Flash vs Mistral Large 4 comparison based on?

73 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-3-flash-vs-mistral-large-4-0">LLMBenchmark.ai, GLM 5.3 Flash vs Mistral Large 4</a></p>