Pixtral 12B vs GLM-4.5-Flash
Too close to call on our weighted score (GLM-4.5-Flash 65, Pixtral 12B 64). The right pick depends on what you value most.
Mistral AI
Pixtral 12B
64/100- ECI—
- Price$0.15 / $0.15
- Context128K
Z.ai (Zhipu)
GLM-4.5-Flash
65/100- ECI—
- PriceFree / Free
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (GLM-4.5-Flash 65/100, Pixtral 12B 64/100), so choose by what matters most for your work: GLM-4.5-Flash on price and GLM-4.5-Flash for long inputs. 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 12B $0.15 per 1M tokens (3:1 blend)
- Longest contextGLM-4.5-FlashGLM-4.5-Flash 131,072 · Pixtral 12B 128,000 tokens
- Widest inputsPixtral 12BPixtral 12B: Text, Images · GLM-4.5-Flash: Text
- Self-hostingPixtral 12BPublishes downloadable weights
| Measure | Weight | Pixtral 12B | GLM-4.5-Flash |
|---|---|---|---|
| Price | 50% | 89 | 100 |
| Inputs & features | 30% | 50 | 35 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 64/100 | 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 | $0.15 | Free (best) |
| Output | $0.15 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $0.15 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Z.AI API |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 128,000 tokens (best) | 98,304 tokens |
| 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 | Open | Proprietary |
| API model ID | pixtral-12b | glm-4.5-flash |
| API providers | 4 | 4 |
| Released | Sep 1, 2024 | Jul 28, 2025 |
| Knowledge cutoff | Sep 2024 | 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 12B$1.80
GLM-4.5-FlashFree
Which should you choose?
Which is better: Pixtral 12B or GLM-4.5-Flash?
It is close. Our weighted score puts them within 1 points (GLM-4.5-Flash 65/100, Pixtral 12B 64/100), so choose by what matters most for your work: GLM-4.5-Flash on price and GLM-4.5-Flash for long inputs. 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 12B 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 12B costs $0.15 input / $0.15 output per million tokens (official Mistral API price). GLM-4.5-Flash is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Pixtral 12B 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 12B 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 12B. Maximum output per response: Pixtral 12B up to 128,000, GLM-4.5-Flash up to 98,304 tokens.
Which can read images, PDFs, audio or video?
Pixtral 12B accepts text and images; GLM-4.5-Flash accepts text. Pixtral 12B handles the widest range of inputs.
Are any of these open source?
Pixtral 12B publishes its weights and can be self-hosted; GLM-4.5-Flash is proprietary.
Which is newer?
GLM-4.5-Flash is the newest, released Jul 28, 2025. Pixtral 12B came out Sep 1, 2024. Knowledge cutoff: Pixtral 12B Sep 2024, 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.