Devstral 2 vs Devstral Medium vs GLM-4.5V
GLM-4.5V comes out ahead, 49 to 42 and 39 on our weighted score, though Devstral 2 is 11% cheaper per token.
Mistral AIDevstral 2
42/100- ECI—
- Price$0.40 / $2.00
- Context262K
- Mistral AI
Devstral 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
GLM-4.5V is our pick
GLM-4.5V is the better all-round choice, scoring 49/100 against Devstral 2 (42) and Devstral Medium (39). It leads on inputs & features. Devstral 2 wins on 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 2 and Devstral MediumDevstral 2 $0.80 · Devstral Medium $0.80 · GLM-4.5V $0.90 per 1M tokens (3:1 blend)
- Longest contextDevstral 2Devstral 2 262,144 · Devstral Medium 128,000 · GLM-4.5V 64,000 tokens
- Widest inputsGLM-4.5VDevstral 2: Text · Devstral Medium: Text · GLM-4.5V: Text, Images, Video
- Self-hostingDevstral 2 and GLM-4.5VPublishes downloadable weights
| Measure | Weight | Devstral 2 | Devstral Medium | GLM-4.5V |
|---|---|---|---|---|
| Price | 50% | 54 | 54 | 52 |
| Inputs & features | 30% | 25 | 25 | 70 |
| Context window | 20% | 37 | 24 | 12 |
| Overall | 100% | 42/100 | 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 2Mistral AI | Devstral MediumMistral AI | GLM-4.5VZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.40 (best) | $0.40 (best) | $0.60 |
| Output | $2.00 | $2.00 | $1.80 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.80 (best) | $0.80 (best) | $0.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Mistral API | Official Z.AI API |
| Limits | |||
| Context window | 262,144 tokens (best) | 128,000 tokens | 64,000 tokens |
| Max output | 262,144 tokens (best) | 128,000 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | devstral-2512 | devstral-medium-2507 | glm-4.5v |
| API providers | 14 (best) | 2 | 11 |
| Released | Dec 9, 2025 | Jul 10, 2025 | Aug 11, 2025 |
| Knowledge cutoff | Dec 2025 | 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 2$8.00
- Devstral Medium$8.00
- GLM-4.5V$9.60
Which should you choose?
Which is better: Devstral 2, Devstral Medium or GLM-4.5V?
GLM-4.5V is the better all-round choice, scoring 49/100 against Devstral 2 (42) and Devstral Medium (39). It leads on inputs & features. Devstral 2 wins on 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 2, Devstral Medium or GLM-4.5V?
Devstral 2 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Devstral Medium costs $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 2 versus $0.80 for Devstral Medium (1× as much) and $0.90 for GLM-4.5V (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Devstral 2 has not been scored 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 2, 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. All three support tool calling for agent workflows.
Which has the bigger context window?
Devstral 2 has the largest context window at 262,144 tokens, against 128,000 for Devstral Medium and 64,000 for GLM-4.5V. Maximum output per response: Devstral 2 up to 262,144, Devstral Medium up to 128,000, GLM-4.5V up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Devstral 2 accepts text; 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?
Devstral 2 and GLM-4.5V publishes its weights and can be self-hosted; Devstral Medium is proprietary.
Which is newer?
Devstral 2 is the newest, released Dec 9, 2025. GLM-4.5V came out Aug 11, 2025; Devstral Medium came out Jul 10, 2025. Knowledge cutoff: Devstral 2 Dec 2025, 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.
