Devstral Small vs GLM-4.7-FlashX
GLM-4.7-FlashX comes out ahead, 61 to 57 on our weighted score.
Mistral AIDevstral Small
57/100- ECI—
- Price$0.10 / $0.30
- Context128K
- Our pick
Z.ai (Zhipu)GLM-4.7-FlashX
61/100- ECI—
- Price$0.07 / $0.40
- Context200K
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Make it a three-way comparison.
GLM-4.7-FlashX is our pick
GLM-4.7-FlashX is the better all-round choice, scoring 61/100 against Devstral Small (57). It leads on inputs & features and context window. 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 priceDevstral SmallDevstral Small $0.15 · GLM-4.7-FlashX $0.152 per 1M tokens (3:1 blend)
- Longest contextGLM-4.7-FlashXGLM-4.7-FlashX 200,000 · Devstral Small 128,000 tokens
- Widest inputsSame inputsDevstral Small: Text · GLM-4.7-FlashX: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Devstral Small | GLM-4.7-FlashX |
|---|---|---|---|
| Price | 50% | 89 | 89 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 24 | 32 |
| Overall | 100% | 57/100 | 61/100 |
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 | Devstral SmallMistral AI | GLM-4.7-FlashXZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.10 | $0.07 (best) |
| Output | $0.30 (best) | $0.40 |
| Cached input | — | $0.01 |
| Blended (3:1) | $0.15 (best) | $0.152 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Z.AI API |
| Limits | ||
| Context window | 128,000 tokens | 200,000 tokens (best) |
| Max output | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | devstral-small-2507 | glm-4.7-flashx |
| API providers | 2 | 8 (best) |
| Released | Jul 10, 2025 | Jan 19, 2026 |
| Knowledge cutoff | May 2025 | 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.
- Devstral Small$1.60
- GLM-4.7-FlashX$1.50
Which should you choose?
Which is better: Devstral Small or GLM-4.7-FlashX?
GLM-4.7-FlashX is the better all-round choice, scoring 61/100 against Devstral Small (57). It leads on inputs & features and context window. 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, Devstral Small or GLM-4.7-FlashX?
Devstral Small is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). GLM-4.7-FlashX costs $0.07 input / $0.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Devstral Small versus $0.152 for GLM-4.7-FlashX (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Devstral Small has not been scored yet and GLM-4.7-FlashX has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Devstral Small and GLM-4.7-FlashX 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-4.7-FlashX has the largest context window at 200,000 tokens, against 128,000 for Devstral Small. Maximum output per response: Devstral Small up to 128,000, GLM-4.7-FlashX up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Devstral Small accepts text; GLM-4.7-FlashX accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
GLM-4.7-FlashX is the newest, released Jan 19, 2026. Devstral Small came out Jul 10, 2025. Knowledge cutoff: Devstral Small May 2025, GLM-4.7-FlashX 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.
