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GLM 5.3 Flash vs Mistral Small 4

GLM 5.3 Flash leads Mistral Small 4 on the Artificial Analysis Intelligence Index, 41.8 to 11.3, and GLM 5.3 Flash costs 1.2x less per output token ($0.50 vs $0.60 per million). Updated October 21, 2026; 9 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace Mistral Small 4
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
41.8
Output $/M
$0.50
8
Mistral Small 4Mistral AI
Coding
No data
Overall
11.3
Output $/M
$0.60
1
vs boards won of 9 shared

GLM 5.3 Flash or Mistral Small 4: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Mistral Small 4 has none, so the two cannot be ranked on coding.

Pick Mistral Small 4 for work measured by ALE-Bench, where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BMistral Small 4Mistral AINot benchmarked1 independent benchmarkNo cost per solved task
Shared results
9
GLM 5.3 Flash only
93
Mistral Small 4 only
5
Like-for-like categories
5 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 Small 4 not benchmarked.
Widest category
Agentic work, 50.1 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: GLM 5.3 Flash 50.9 against Mistral Small 4 0.8, 50.1 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Mistral Small 4 $0.60 per million output tokens, 1.2x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, Mistral Small 4 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 5.3 FlashBarsMistral Small 4Ties
Coding31
Intelligence10
Agentic work10
Reasoning20
General10
All shared boards81
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev1607Not measuredOnly GLM 5.3 Flash measured
AA Coding Index71.526.6GLM 5.3 Flash
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%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%0.0%GLM 5.3 Flash
Code migration (Vals AI)20.5%Not measuredOnly GLM 5.3 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
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%38.8%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured17.4%Only Mistral Small 4 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6497.6Mistral Small 4
LMArena Text: coding1507Not measuredOnly GLM 5.3 Flash measured
LMArena Text: software and IT1500Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: React1624Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: HTML1577Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
AA Intelligence Index41.811.3GLM 5.3 Flash
Epoch Capabilities Index153.1Not measuredOnly GLM 5.3 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
AA Agentic Index50.90.8GLM 5.3 Flash
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured41.2%Only Mistral Small 4 measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%76.9%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%9.9%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts1490Not measuredOnly GLM 5.3 Flash measured
LMArena Text: expert1511Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts in English1488Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: diagrams1317Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
OTIS Mock AIME93.9%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: math1503Not measuredOnly GLM 5.3 Flash measured
LMArena Text: mathematical work1497Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 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
LMArena Text: science1484Not measuredOnly GLM 5.3 Flash measured
LMArena Text: medicine and healthcare1475Not measuredOnly GLM 5.3 Flash measured
LMArena Text: legal and government1473Not measuredOnly GLM 5.3 Flash measured
LMArena Text: business and finance1460Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
Design Arena: websites1272Not measuredOnly GLM 5.3 Flash measured
Design Arena: UI components1316Not measuredOnly GLM 5.3 Flash measured
Design Arena: game dev1278Not measuredOnly GLM 5.3 Flash measured
Design Arena: data viz1261Not measuredOnly GLM 5.3 Flash measured
Design Arena: 3D1316Not measuredOnly GLM 5.3 Flash measured
Design Arena: all code categories1282Not measuredOnly GLM 5.3 Flash measured
Design Arena: SVG1284Not measuredOnly GLM 5.3 Flash measured
Design Arena: ASCII art1268Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for GLM 5.3 Flash and Mistral Small 4
BenchmarkGLM 5.3 FlashMistral Small 4Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
IFBenchNot measured48.2%Only Mistral Small 4 measured
Long context reasoning (AA-LCR)80.0%49.7%GLM 5.3 Flash
DTBenchNot measured70.9%Only Mistral Small 4 measured
LMCANot measured20.6%Only Mistral Small 4 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text1471Not measuredOnly GLM 5.3 Flash measured
LMArena Text: instruction following1478Not measuredOnly GLM 5.3 Flash measured
LMArena Text: creative writing1441Not measuredOnly GLM 5.3 Flash measured
LMArena Vision1294Not measuredOnly GLM 5.3 Flash measured
LMArena Text: English1474Not measuredOnly GLM 5.3 Flash measured
LMArena Text: non-English1462Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Chinese1531Not measuredOnly GLM 5.3 Flash measured
LMArena Text: German1462Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Japanese1444Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Korean1436Not measuredOnly GLM 5.3 Flash measured
LMArena Text: French1491Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Spanish1475Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Russian1465Not measuredOnly GLM 5.3 Flash measured
LMArena Text: Polish1450Not measuredOnly GLM 5.3 Flash measured
LMArena Text: multi-turn1469Not measuredOnly GLM 5.3 Flash measured
LMArena Text: longer queries1481Not measuredOnly GLM 5.3 Flash measured
LMArena Text: writing and language1455Not measuredOnly GLM 5.3 Flash measured
LMArena Text: entertainment and media1440Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: English1295Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text1299Not measuredOnly GLM 5.3 Flash measured
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 Small 4
BenchmarkGLM 5.3 FlashMistral Small 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 Small 4$0.0004Fits 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 Small 4$0.0093Fits 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 Small 4$0.036Fits 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 Small 4
SpecificationZ.ai GLM 5.3 FlashMistral Small 4
MakerZ.aiMistral AI
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026March 16, 2026
Context window1.05M262K
Input $/Mtok$0.15$0.15
Output $/Mtok$0.50$0.60
Coding index57.7Not benchmarked
Independent measurements behind it61
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Mistral Small 4 has none, so the two cannot be ranked on coding. Pick Mistral Small 4 for work measured by ALE-Bench, where it leads.

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

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Mistral Small 4 costs $0.15 and $0.60. Cost per solved task is known for GLM 5.3 Flash only.

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

GLM 5.3 Flash, with 1.05M tokens against 262K.

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

9 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and Mistral Small 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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