Devstral Medium vs GLM-4.5V
GLM-4.5V comes out ahead, 49 to 39 on our weighted score, though Devstral Medium is 11% cheaper per token.
Mistral AIDevstral Medium
39/100- ECI—
- Price$0.40 / $2.00
- Context128K
- Our pick
Z.ai (Zhipu)GLM-4.5V
49/100- ECI—
- Price$0.60 / $1.80
- Context64K
Add a model
Make it a three-way comparison.
GLM-4.5V is our pick
GLM-4.5V is the better all-round choice, scoring 49/100 against Devstral Medium (39). It leads on inputs & features. Devstral Medium wins on price 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 MediumDevstral Medium $0.80 · GLM-4.5V $0.90 per 1M tokens (3:1 blend)
- Longest contextDevstral MediumDevstral Medium 128,000 · GLM-4.5V 64,000 tokens
- Widest inputsGLM-4.5VDevstral Medium: Text · GLM-4.5V: Text, Images, Video
- Self-hostingGLM-4.5VPublishes downloadable weights
| Measure | Weight | Devstral Medium | GLM-4.5V |
|---|---|---|---|
| Price | 50% | 54 | 52 |
| Inputs & features | 30% | 25 | 70 |
| Context window | 20% | 24 | 12 |
| Overall | 100% | 39/100 | 49/100 |
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 MediumMistral AI | GLM-4.5VZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 (best) | $0.60 |
| Output | $2.00 | $1.80 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.80 (best) | $0.90 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Z.AI API |
| Limits | ||
| Context window | 128,000 tokens (best) | 64,000 tokens |
| Max output | 128,000 tokens (best) | 16,384 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | devstral-medium-2507 | glm-4.5v |
| API providers | 2 | 11 (best) |
| Released | Jul 10, 2025 | Aug 11, 2025 |
| 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 Medium$8.00
- GLM-4.5V$9.60
Which should you choose?
Which is better: Devstral Medium or GLM-4.5V?
GLM-4.5V is the better all-round choice, scoring 49/100 against Devstral Medium (39). It leads on inputs & features. Devstral Medium wins on price 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 Medium or GLM-4.5V?
Devstral Medium is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). GLM-4.5V costs $0.60 input / $1.80 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Devstral Medium versus $0.90 for GLM-4.5V (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Devstral Medium has not been scored yet and GLM-4.5V has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Devstral Medium and GLM-4.5V 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?
Devstral Medium has the largest context window at 128,000 tokens, against 64,000 for GLM-4.5V. Maximum output per response: Devstral Medium up to 128,000, GLM-4.5V up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Devstral Medium accepts text; GLM-4.5V accepts text, images and video. GLM-4.5V handles the widest range of inputs.
Are any of these open source?
GLM-4.5V publishes its weights and can be self-hosted; Devstral Medium is proprietary.
Which is newer?
GLM-4.5V is the newest, released Aug 11, 2025. Devstral Medium came out Jul 10, 2025. Knowledge cutoff: Devstral Medium May 2025, GLM-4.5V 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.
Related comparisons
- Add Qwen3-Next 80B-A3B InstructThree-way comparison
- Devstral Medium vs Qwen3-Next 80B-A3B InstructAlibaba (Qwen)
- Devstral Medium vs Ling-1TinclusionAI
- Devstral Medium vs GPT-5.1 Codex miniOpenAI
- GLM-4.5V vs Qwen3-Next 80B-A3B InstructAlibaba (Qwen)
- GLM-4.5V vs Mistral Medium 3.1Mistral AI
- GLM-4.5V vs Ling-1TinclusionAI
