Codestral 25.08 vs Qwen3-VL Plus vs GLM-4.5-Air
Qwen3-VL Plus comes out ahead, 58 to 48 and 47 on our weighted score, though GLM-4.5-Air is 23% cheaper per token.
Mistral AICodestral 25.08
47/100- ECI—
- Price$0.30 / $0.90
- Context128K
- Our pick
Alibaba (Qwen)Qwen3-VL Plus
58/100- ECI—
- Price$0.20 / $1.60
- Context262K
Z.ai (Zhipu)GLM-4.5-Air
48/100- ECI—
- Price$0.20 / $1.10
- Context131K
Qwen3-VL Plus is our pick
Qwen3-VL Plus is the better all-round choice, scoring 58/100 against GLM-4.5-Air (48) and Codestral 25.08 (47). 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 priceGLM-4.5-AirGLM-4.5-Air $0.425 · Codestral 25.08 $0.45 · Qwen3-VL Plus $0.55 per 1M tokens (3:1 blend)
- Longest contextQwen3-VL PlusQwen3-VL Plus 262,144 · GLM-4.5-Air 131,072 · Codestral 25.08 128,000 tokens
- Widest inputsQwen3-VL PlusCodestral 25.08: Text · Qwen3-VL Plus: Text, Images · GLM-4.5-Air: Text
- Self-hostingGLM-4.5-AirPublishes downloadable weights
| Measure | Weight | Codestral 25.08 | Qwen3-VL Plus | GLM-4.5-Air |
|---|---|---|---|---|
| Price | 50% | 64 | 60 | 65 |
| Inputs & features | 30% | 35 | 70 | 35 |
| Context window | 20% | 24 | 37 | 25 |
| Overall | 100% | 47/100 | 58/100 | 48/100 |
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 | Codestral 25.08Mistral AI | Qwen3-VL PlusAlibaba (Qwen) | GLM-4.5-AirZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.20 (best) | $0.20 (best) |
| Output | $0.90 (best) | $1.60 | $1.10 |
| Cached input | $0.03 (best) | $0.04 | $0.03 (best) |
| Blended (3:1) | $0.45 | $0.55 | $0.425 (best) |
| Long-context rate | Same rate | Over 32K: $0.30 / $2.40 | Same rate |
| Price source | Official Mistral API | Official Alibaba API | Official Z.AI API |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 32,768 tokens | 98,304 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | codestral-2508 | qwen3-vl-plus | glm-4.5-air |
| API providers | 11 | 6 | 19 (best) |
| Released | Jul 30, 2025 | Sep 23, 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | Apr 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.
- Codestral 25.08$4.80
- Qwen3-VL Plus$5.20
- GLM-4.5-Air$4.20
Which should you choose?
Which is better: Codestral 25.08, Qwen3-VL Plus or GLM-4.5-Air?
Qwen3-VL Plus is the better all-round choice, scoring 58/100 against GLM-4.5-Air (48) and Codestral 25.08 (47). 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, Codestral 25.08, Qwen3-VL Plus or GLM-4.5-Air?
GLM-4.5-Air is cheaper at $0.20 input / $1.10 output per million tokens (official Z.AI API price). Codestral 25.08 costs $0.30 input / $0.90 output per million tokens (official Mistral API price); Qwen3-VL Plus costs $0.20 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.425 per million tokens for GLM-4.5-Air versus $0.45 for Codestral 25.08 (1.1× as much) and $0.55 for Qwen3-VL Plus (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Codestral 25.08 has not been scored yet, Qwen3-VL Plus has not been scored yet and GLM-4.5-Air has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral 25.08, Qwen3-VL Plus and GLM-4.5-Air 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?
Qwen3-VL Plus has the largest context window at 262,144 tokens, against 131,072 for GLM-4.5-Air and 128,000 for Codestral 25.08. Maximum output per response: Codestral 25.08 up to 8,192, Qwen3-VL Plus up to 32,768, GLM-4.5-Air up to 98,304 tokens.
Which can read images, PDFs, audio or video?
Codestral 25.08 accepts text; Qwen3-VL Plus accepts text and images; GLM-4.5-Air accepts text. Qwen3-VL Plus handles the widest range of inputs.
Are any of these open source?
GLM-4.5-Air publishes its weights and can be self-hosted; Codestral 25.08 and Qwen3-VL Plus is proprietary.
Which is newer?
Qwen3-VL Plus is the newest, released Sep 23, 2025. Codestral 25.08 came out Jul 30, 2025; GLM-4.5-Air came out Jul 28, 2025. Knowledge cutoff: Qwen3-VL Plus Apr 2025, GLM-4.5-Air 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 Nov 2, 2026.
