GLM-5.3-Flash vs Mistral Large 2
Comparing GLM-5.3-Flash and Mistral Large 2 across benchmarks, pricing, and capabilities.
Zhipu AI · Mistral AI · Updated for 2026
Which is better?
GLM-5.3-Flash and Mistral Large 2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-5.3-Flash is roughly 12.6x 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 (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3-Flash
- cost matters — it's about 12.6x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Mistral Large 2
- you want predictable pricing at $2.00/M input and $6.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3-Flash and Mistral Large 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 13.3x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 12.0x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3-Flash has 197.0B more parameters than Mistral Large 2, making it 160.2% larger.
Context Window
Maximum input and output token capacity
GLM-5.3-Flash accepts 1,000,000 input tokens compared to Mistral Large 2's 128,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Mistral Large 2 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GLM-5.3-Flash supports multimodal inputs, whereas Mistral Large 2 does not.
GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3-Flash
Mistral Large 2
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Mistral Large 2 uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
GLM-5.3-Flash was released on 2026-08-26, while Mistral Large 2 was released on 2024-07-24.
GLM-5.3-Flash is 25 months newer than Mistral Large 2.
Aug 26, 2026
0 days ago
2.1yr newerJul 24, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3-Flash is available from ZAI. Mistral Large 2 is available from Google, Mistral AI.
GLM-5.3-Flash
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Mistral Large 2.