Pixtral Large (25.02) vs GLM-4.5-Flash
GLM-4.5-Flash comes out ahead, 65 to 33 on our weighted score, and it is the cheaper option too.
Mistral AI
Pixtral Large (25.02)
33/100- ECI—
- Price$2.00 / $6.00
- Context128K
- Our pick
Z.ai (Zhipu)
GLM-4.5-Flash
65/100- ECI—
- PriceFree / Free
- Context131K
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Make it a three-way comparison.
GLM-4.5-Flash is our pick
GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Pixtral Large (25.02) (33). It leads on price. Pixtral Large (25.02) wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGLM-4.5-FlashGLM-4.5-Flash Free · Pixtral Large (25.02) $3.00 per 1M tokens (3:1 blend)
- Longest contextGLM-4.5-FlashGLM-4.5-Flash 131,072 · Pixtral Large (25.02) 128,000 tokens
- Widest inputsPixtral Large (25.02)Pixtral Large (25.02): Text, Images · GLM-4.5-Flash: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Pixtral Large (25.02) | GLM-4.5-Flash |
|---|---|---|---|
| Price | 50% | 27 | 100 |
| Inputs & features | 30% | 50 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 33/100 | 65/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 | Free (best) |
| Output | $6.00 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $3.00 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Z.AI API |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 98,304 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | glm-4.5-flash |
| API providers | 3 | 4 (best) |
| Released | Apr 8, 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Pixtral Large (25.02)$32.00
GLM-4.5-FlashFree
Which should you choose?
Which is better: Pixtral Large (25.02) or GLM-4.5-Flash?
GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Pixtral Large (25.02) (33). It leads on price. Pixtral Large (25.02) wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Pixtral Large (25.02) or GLM-4.5-Flash?
GLM-4.5-Flash is cheaper at Free input / Free output per million tokens (official Z.AI API price). Pixtral Large (25.02) costs $2.00 input / $6.00 output per million tokens (median across 3 API providers). GLM-4.5-Flash is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Pixtral Large (25.02) has not been scored yet and GLM-4.5-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Pixtral Large (25.02) and GLM-4.5-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
GLM-4.5-Flash has the largest context window at 131,072 tokens, against 128,000 for Pixtral Large (25.02). Maximum output per response: Pixtral Large (25.02) up to 8,192, GLM-4.5-Flash up to 98,304 tokens.
Which can read images, PDFs, audio or video?
Pixtral Large (25.02) accepts text and images; GLM-4.5-Flash accepts text. Pixtral Large (25.02) handles the widest range of inputs.
Are any of these open source?
No. Pixtral Large (25.02) and GLM-4.5-Flash are proprietary and only available through APIs and apps.
Which is newer?
GLM-4.5-Flash is the newest, released Jul 28, 2025. Pixtral Large (25.02) came out Apr 8, 2025. Knowledge cutoff: GLM-4.5-Flash Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.