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GLM 5.3 Flash vs Mistral Large 3 2512

GLM 5.3 Flash leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 41.8 to 9.3, and GLM 5.3 Flash costs 3.0x less per output token ($0.50 vs $1.50 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace Mistral Large 3 2512
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
19
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
0
vs boards won of 19 shared

GLM 5.3 Flash or Mistral Large 3 2512: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved task
Shared results
19
GLM 5.3 Flash only
83
Mistral Large 3 2512 only
9
Like-for-like categories
6 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 3 2512 not benchmarked.
Widest category
Agentic work, 49.9 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: GLM 5.3 Flash 71.5 against Mistral Large 3 2512 20.1, 51.4 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Mistral Large 3 2512 $1.50 per million output tokens, 3.0x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, Mistral Large 3 2512 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 Large 3 2512Ties
Coding40
Intelligence10
Agentic work10
Reasoning20
Knowledge30
Web design80
All shared boards190
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev1607Not measuredOnly GLM 5.3 Flash measured
AA Coding Index71.520.1GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%55.3%GLM 5.3 Flash
SWE-bench Verified (Vals AI)92.0%41.4%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%Not measuredOnly GLM 5.3 Flash measured
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%Not measuredOnly GLM 5.3 Flash measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6264.7GLM 5.3 Flash
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 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
AA Intelligence Index41.89.3GLM 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 Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
AA Agentic Index50.91.0GLM 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
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
GPQA Diamond86.4%68.4%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%66.2%GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)91.2%Not measuredOnly GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)39.9%Not measuredOnly GLM 5.3 Flash measured
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 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
AIMENot measured42.9%Only Mistral Large 3 2512 measured
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
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 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index30
Knowledge benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
MMLU Pro86.1%79.8%GLM 5.3 Flash
LegalBench (Vals AI)83.9%79.1%GLM 5.3 Flash
CaseLaw (Vals AI)Not measured61.4%Only Mistral Large 3 2512 measured
CorpFin (Vals AI)Not measured61.0%Only Mistral Large 3 2512 measured
TaxEval (Vals AI)75.6%73.1%GLM 5.3 Flash
MortgageTax (Vals AI)Not measured52.1%Only Mistral Large 3 2512 measured
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 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 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
Design Arena: websites12721162GLM 5.3 Flash
Design Arena: UI components13161099GLM 5.3 Flash
Design Arena: game dev12781080GLM 5.3 Flash
Design Arena: data viz12621136GLM 5.3 Flash
Design Arena: 3D13161099GLM 5.3 Flash
Design Arena: all code categories12821141GLM 5.3 Flash
Design Arena: SVG1285992GLM 5.3 Flash
Design Arena: ASCII art12671069GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index31 boards, none shared
General benchmarks for GLM 5.3 Flash and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
SAGE (Vals AI)Not measured24.6%Only Mistral Large 3 2512 measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly GLM 5.3 Flash measured
DTBenchNot measured65.1%Only Mistral Large 3 2512 measured
LMCANot measured16.7%Only Mistral Large 3 2512 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 Large 3 2512
BenchmarkGLM 5.3 FlashMistral Large 3 2512Leader
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 3 2512$0.0013Fits 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 3 2512$0.029Fits 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 3 2512$0.115Fits 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 3 2512
SpecificationZ.ai GLM 5.3 FlashMistral Large 3 2512
MakerZ.aiMistral AI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026December 1, 2025
Context window1.05M262K
Input $/Mtok$0.15$0.50
Output $/Mtok$0.50$1.50
Coding index57.7Not benchmarked
Independent measurements behind it61
Cost per solved task$0.02$0.77
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Mistral Large 3 2512 for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5.3 Flash or Mistral Large 3 2512?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, GLM 5.3 Flash or Mistral Large 3 2512?

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

How many benchmarks is the GLM 5.3 Flash vs Mistral Large 3 2512 comparison based on?

19 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 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

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