Codestral-22B-v0.1 vs GLM-4.5-Air vs solar-mini
GLM-4.5-Air comes out ahead, 31 to 15 and 0 on our weighted score, though solar-mini is 2.8× cheaper per token.
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
- Our pick
Z.ai (Zhipu)GLM-4.5-Air
31/100- ECI—
- Price$0.20 / $1.10
- Context131K
Upstagesolar-mini
15/100- ECI—
- Price$0.15 / $0.15
- Context33K
GLM-4.5-Air is our pick
GLM-4.5-Air is the better all-round choice, scoring 31/100 against solar-mini (15) and Codestral-22B-v0.1 (0). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 pricesolar-minisolar-mini $0.15 · GLM-4.5-Air $0.425 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextGLM-4.5-AirGLM-4.5-Air 131,072 · Codestral-22B-v0.1 32,768 · solar-mini 32,768 tokens
- Widest inputsSame inputsCodestral-22B-v0.1: Text · GLM-4.5-Air: Text · solar-mini: Text
- Self-hostingCodestral-22B-v0.1 and GLM-4.5-AirPublishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Codestral-22B-v0.1 | GLM-4.5-Air | solar-mini |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 35 | 25 |
| Context window | 40% | 0 | 25 | 0 |
| Overall | 100% | 0/100 | 31/100 | 15/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Codestral-22B-v0.1Mistral AI | GLM-4.5-AirZ.ai (Zhipu) | solar-miniUpstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.20 | $0.15 (best) |
| Output | — | $1.10 | $0.15 (best) |
| Cached input | — | $0.03 | — |
| Blended (3:1) | — | $0.425 | $0.15 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Z.AI API | Official Upstage API |
| Limits | |||
| Context window | 32,768 tokens | 131,072 tokens (best) | 32,768 tokens |
| Max output | 8,192 tokens | 98,304 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenMistral AI Non-Production License | Open | Proprietary |
| API model ID | — | glm-4.5-air | solar-mini |
| API providers | — | 19 (best) | 1 |
| Released | May 29, 2024 | Jul 28, 2025 | Jun 12, 2024 |
| Knowledge cutoff | — | Apr 2025 | Sep 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Codestral-22B-v0.1—
- GLM-4.5-Air$4.20
- solar-mini$1.80
Which should you choose?
Which is better: Codestral-22B-v0.1, GLM-4.5-Air or solar-mini?
GLM-4.5-Air is the better all-round choice, scoring 31/100 against solar-mini (15) and Codestral-22B-v0.1 (0). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Codestral-22B-v0.1, GLM-4.5-Air or solar-mini?
solar-mini is cheaper at $0.15 input / $0.15 output per million tokens (official Upstage API price). GLM-4.5-Air costs $0.20 input / $1.10 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 solar-mini versus $0.425 for GLM-4.5-Air (2.8× as much). Codestral-22B-v0.1 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Codestral-22B-v0.1 has not been scored yet, GLM-4.5-Air has not been scored yet and solar-mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral-22B-v0.1, GLM-4.5-Air and solar-mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Codestral-22B-v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
GLM-4.5-Air has the largest context window at 131,072 tokens, against 32,768 for Codestral-22B-v0.1 and 32,768 for solar-mini. Maximum output per response: Codestral-22B-v0.1 up to 8,192, GLM-4.5-Air up to 98,304, solar-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Codestral-22B-v0.1 accepts text; GLM-4.5-Air accepts text; solar-mini accepts text. They handle the same number of input types.
Are any of these open source?
Codestral-22B-v0.1 and GLM-4.5-Air publishes its weights (Mistral AI Non-Production License) and can be self-hosted; solar-mini is proprietary.
Which is newer?
GLM-4.5-Air is the newest, released Jul 28, 2025. solar-mini came out Jun 12, 2024; Codestral-22B-v0.1 came out May 29, 2024. Knowledge cutoff: GLM-4.5-Air Apr 2025, solar-mini Sep 2024.
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.
