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GLM 5.3 FlashX vs Mistral Large 3 2512

GLM 5.3 FlashX costs 1.2x less per output token than Mistral Large 3 2512 ($1.25 vs $1.50 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace GLM 5.3 FlashX Replace Mistral Large 3 2512
GLM 5.3 FlashXZ.ai
Coding
No data
Overall
No data
Output $/M
$1.25
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
vs $1.25 vs $1.50 per 1M output tokens. GLM 5.3 FlashX is 1.2x cheaper.

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

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 5.3 FlashX for output tokens 1.2x cheaper ($1.25 vs $1.50 per million) and a larger context window (1.05M against 262K tokens).

Model AGLM 5.3 FlashXZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved task

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; Mistral Large 3 2512 on AA Coding Index, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). Compare them on price and context instead.

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 FlashX not benchmarked, Mistral Large 3 2512 not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GLM 5.3 FlashX $1.25 against Mistral Large 3 2512 $1.50 per million output tokens, 1.2x apart.
Context window
GLM 5.3 FlashX takes 1.05M tokens, Mistral Large 3 2512 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
Coding benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
AA Coding IndexNot measured20.1Only Mistral Large 3 2512 measured
LiveCodeBench (Vals AI)Not measured55.3%Only Mistral Large 3 2512 measured
SWE-bench Verified (Vals AI)Not measured41.4%Only Mistral Large 3 2512 measured
ALE-BenchNot measured264.7Only Mistral Large 3 2512 measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
AA Intelligence IndexNot measured9.3Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
AA Agentic IndexNot measured1.0Only Mistral Large 3 2512 measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
GPQA DiamondNot measured68.4%Only Mistral Large 3 2512 measured
MMMU Pro (Vals AI)Not measured66.2%Only Mistral Large 3 2512 measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
AIMENot measured42.9%Only Mistral Large 3 2512 measured
MGSM (Vals AI)Not measured85.4%Only Mistral Large 3 2512 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Knowledge benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
MMLU ProNot measured79.8%Only Mistral Large 3 2512 measured
LegalBench (Vals AI)Not measured79.1%Only Mistral Large 3 2512 measured
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)Not measured73.1%Only Mistral Large 3 2512 measured
MortgageTax (Vals AI)Not measured52.1%Only Mistral Large 3 2512 measured
MedQA (Vals AI)Not measured82.2%Only Mistral Large 3 2512 measured
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
Design Arena: websitesNot measured1162Only Mistral Large 3 2512 measured
Design Arena: UI componentsNot measured1102Only Mistral Large 3 2512 measured
Design Arena: game devNot measured1080Only Mistral Large 3 2512 measured
Design Arena: data vizNot measured1136Only Mistral Large 3 2512 measured
Design Arena: 3DNot measured1100Only Mistral Large 3 2512 measured
Design Arena: all code categoriesNot measured1142Only Mistral Large 3 2512 measured
Design Arena: SVGNot measured993Only Mistral Large 3 2512 measured
Design Arena: ASCII artNot measured1069Only Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
General benchmarks for GLM 5.3 FlashX and Mistral Large 3 2512
BenchmarkGLM 5.3 FlashXMistral Large 3 2512Leader
SAGE (Vals AI)Not measured24.6%Only Mistral Large 3 2512 measured
DTBenchNot measured65.1%Only Mistral Large 3 2512 measured
LMCANot measured16.7%Only Mistral Large 3 2512 measured
Neither model has a result on the other 43 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 FlashX$0.0010Fits in one request
Mistral Large 3 2512$0.0013Fits in one request

GLM 5.3 FlashX costs less

Repository review

50K input + 3K output tokens

GLM 5.3 FlashX$0.022Fits in one request
Mistral Large 3 2512$0.029Fits in one request

GLM 5.3 FlashX costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 FlashX$0.086Fits in one request
Mistral Large 3 2512$0.115Fits in one request

GLM 5.3 FlashX 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 FlashX and Mistral Large 3 2512
SpecificationZ.ai GLM 5.3 FlashXMistral Large 3 2512
MakerZ.aiMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 18, 2026December 1, 2025
Context window1.05M262K
Input $/Mtok$0.37$0.50
Output $/Mtok$1.25$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.77
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5.3 FlashX for output tokens 1.2x cheaper ($1.25 vs $1.50 per million) and a larger context window (1.05M against 262K tokens).

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

GLM 5.3 FlashX costs $0.37 per million input tokens and $1.25 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Cost per solved task is known for Mistral Large 3 2512 only.

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

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

Has any benchmark tested both GLM 5.3 FlashX and Mistral Large 3 2512?

No benchmark has tested both yet. GLM 5.3 FlashX has none yet; Mistral Large 3 2512 on AA Coding Index, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.

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