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GLM-5.3-Flash vs Mistral Large 4

GLM-5.3-Flash and Mistral Large 4 are closely matched at 49.0 and 46.4 on the LLM Stats Score. GLM-5.3-Flash is 4.3x cheaper per token.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3-Flash and Mistral Large 4 are closely matched on the overall LLM Stats Score at 49.0 and 46.4.

The models split the 2 individual benchmarks reported for both models evenly.

On price, GLM-5.3-Flash is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5.3-Flash

  • cost matters — it's about 4.3x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
49.0
#23
46.4
#33
Reasoning
48.0
#22
44.0
#42
Coding
33.0
#43
36.5
#24
Agents
35.5
#21
34.7
#25
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.15 / M
$0.68 / M
Output price
$0.50 / M
$2.09 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GLM-5.3-Flash
Mistral Large 4
Vision
30.9#31
1.1#185
Tool use
28.5#17
27.2#25
Multimodal
30.6#32
1.7#158
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 15 for Mistral Large 4

2 shared

GLM-5.3-Flash outperforms in 1 benchmarks (DeepSWE 1.1), while Mistral Large 4 is better at 1 benchmark (AutomationBench).

Both models are evenly matched across the benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 4.5x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 4.2x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than GLM-5.3-Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Oct 07 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

730.0B diff

Mistral Large 4 has 730.0B more parameters than GLM-5.3-Flash, making it 228.1% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
320.0B
GLM-5.3-Flash
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

GLM-5.3-Flash accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only GLM-5.3-Flash specifies output context (1,048,576 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output1,048,576 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-Flash and Mistral Large 4 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash is licensed under MIT, while Mistral Large 4 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5.3-Flash

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 1 month newer than GLM-5.3-Flash.

GLM-5.3-Flash

Aug 26, 2026

1 months ago

Mistral Large 4

Oct 6, 2026

1 days ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. Mistral Large 4 is available from Mistral AI.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
friendli logo
FriendliAI
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-5.3-Flash and Mistral Large 4 side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Mistral Large 4.

Which is better, GLM-5.3-Flash or Mistral Large 4?

GLM-5.3-Flash and Mistral Large 4 are closely matched on the LLM Stats Score at 49.0 and 46.4. GLM-5.3-Flash is made by Zhipu AI and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3-Flash compare to Mistral Large 4 in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. Mistral Large 4 scores CyBench: 93.0%, SciCode: 91.8%, CyberGym: 82.0%, Finch (FinWorkBench): 67.4%, ChartQAPro: 63.1%.

Is GLM-5.3-Flash cheaper than Mistral Large 4?

GLM-5.3-Flash is 4.5x cheaper for input tokens. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for GLM-5.3-Flash and Mistral Large 4?

GLM-5.3-Flash supports 1.0M tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3-Flash and Mistral Large 4?

Key differences include LLM Stats Score (49.0 vs 46.4), context window (1.0M vs 1.0M), input pricing ($0.15 vs $0.68/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and Mistral Large 4?

GLM-5.3-Flash is developed by Zhipu AI and Mistral Large 4 is developed by Mistral AI.

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