AI model comparison
GLM 5.3 Flash vs Mistral Nemo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
Mistral
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
- Input / 1M
- $0.03
- Output / 1M
- $0.03
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Nemo
7.5x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
GLM 5.3 Flash
1.05M vs 131K tokens
Newer release
GLM 5.3 Flash
Released August 26, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral NemoNot availableCoding index
Mistral NemoNot availableAgentic index
Mistral NemoNot availablePricing
GLM 5.3 Flash vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Nemo | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.03 |
| Output tokensPer 1M tokens | $0.50 | $0.03 |
| Cached input (read)Per 1M tokens | $0.03 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Mistral Nemo$0.07Coding task
30K in, 4K out
Mistral Nemo$0.99Long document summary
150K in, 2K out
Mistral Nemo$4.41Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Nemo | |
|---|---|---|
| Context window | 1.05M tokens | 131K tokens |
| Max output | 944K tokens | 16K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Not available |
| Default reasoning effort | Max | Not available |
| Release date | August 26, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | Mistral Nemo | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 5.3 Flash vs DeepSeek V4.1 Flash
- GLM 5.3 Flash vs MiMo-V2.6-Flash
- GLM 5.3 Flash vs Hy4 preview
- GLM 5.3 Flash vs GPT-6 Luna
- GLM 5.3 Flash vs DeepSeek V4 Flash 0731
- GLM 5.3 Flash vs Claude Opus 5.5
- GLM 5.3 Flash vs GLM 5.3
- GLM 5.3 Flash vs DeepSeek V4 Flash 0423
- GLM 5.3 Flash vs Step 5 Preview
- GLM 5.3 Flash vs Gemini 3.8 Flash
- GLM 5.3 Flash vs Hy3
- GLM 5.3 Flash vs GPT-5.6 Luna
- GLM 5.3 Flash vs GPT-6.1 Sol
- GLM 5.3 Flash vs Muse Spark 1.3 Contributor
- GLM 5.3 Flash vs Claude Sonnet 5.5
- GLM 5.3 Flash vs Claude Fable 5.1
- GLM 5.3 Flash vs GPT-6 Astra
- GLM 5.3 Flash vs MiMo-V2.6-Pro
- GLM 5.3 Flash vs Claude Opus 5
- GLM 5.3 Flash vs DeepSeek V4 Pro 0813
- GLM 5.3 Flash vs Claude Haiku 5.5
- GLM 5.3 Flash vs Ling 3.1 Flash
- GLM 5.3 Flash vs GPT-6 Luna Pro
- GLM 5.3 Flash vs Gemini 3.7 Flash
- GLM 5.3 Flash vs Muse Spark 1.2
- GLM 5.3 Flash vs Qwen3.8 Flash
- GLM 5.3 Flash vs Qwen3.7 Flash
- GLM 5.3 Flash vs DeepSeek V4 Flash Vision Exp
- GLM 5.3 Flash vs GLM 5.3 FlashX
- GLM 5.3 Flash vs GPT-5.6 Luna Pro
Mistral NemoView full model details- Mistral Nemo vs MiMo-V2.6-Flash
- Mistral Nemo vs Muse Spark 1.3 Contributor
- Mistral Nemo vs gpt-oss-20b
- Mistral Nemo vs Ling 3.0 Flash
- Mistral Nemo vs Ling 3.0 Flash VL
- Mistral Nemo vs Llama 3.1 8B Instruct
- Mistral Nemo vs Mistral Small 3
- Mistral Nemo vs Ministral 3 8B 2512
- Mistral Nemo vs Ministral 3 3B 2512
Our take
Mistral Nemo is 7.5x cheaper for a typical chat. GLM 5.3 Flash has the larger context window (1.05M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 5.3 Flash or Mistral Nemo cheaper?
Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while GLM 5.3 Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, GLM 5.3 Flash or Mistral Nemo?
GLM 5.3 Flash supports up to 1.05M tokens of context, compared with 131K for Mistral Nemo.
Can I use GLM 5.3 Flash and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 Flash and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 Flash and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.