Codestral-22B-v0.1 vs Hermes 2 Pro Llama 3 8B vs solar-mini
Too close to call on our weighted score (solar-mini 15, Hermes 2 Pro Llama 3 8B 15, Codestral-22B-v0.1 0). The right pick depends on what you value most.
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
Nous ResearchHermes 2 Pro Llama 3 8B
15/100- ECI—
- Price$0.14 / $0.14
- Context8K
Upstagesolar-mini
15/100- ECI—
- Price$0.15 / $0.15
- Context33K
Too close to call
It is close. Our weighted score puts them within a point (solar-mini 15/100, Hermes 2 Pro Llama 3 8B 15/100, Codestral-22B-v0.1 0/100), so choose by what matters most for your work: Hermes 2 Pro Llama 3 8B on price. 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 priceHermes 2 Pro Llama 3 8BHermes 2 Pro Llama 3 8B $0.14 · solar-mini $0.15 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextCodestral-22B-v0.1 and solar-miniCodestral-22B-v0.1 32,768 · solar-mini 32,768 · Hermes 2 Pro Llama 3 8B 8,192 tokens
- Widest inputsSame inputsCodestral-22B-v0.1: Text · Hermes 2 Pro Llama 3 8B: Text · solar-mini: Text
- Self-hostingCodestral-22B-v0.1 and Hermes 2 Pro Llama 3 8BPublishes downloadable weights (Mistral AI Non-Production License and Llama 3 Community License)
| Measure | Weight | Codestral-22B-v0.1 | Hermes 2 Pro Llama 3 8B | solar-mini |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 25 | 25 |
| Context window | 40% | 0 | 0 | 0 |
| Overall | 100% | 0/100 | 15/100 | 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 | Hermes 2 Pro Llama 3 8BNous Research | solar-miniUpstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.14 (best) | $0.15 |
| Output | — | $0.14 (best) | $0.15 |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.14 (best) | $0.15 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 2 providers | Official Upstage API |
| Limits | |||
| Context window | 32,768 tokens (best) | 8,192 tokens | 32,768 tokens (best) |
| Max output | 8,192 tokens (best) | 8,192 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 | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenMistral AI Non-Production License | OpenLlama 3 Community License | Proprietary |
| API model ID | — | — | solar-mini |
| API providers | — | 2 (best) | 1 |
| Released | May 29, 2024 | Apr 30, 2024 | Jun 12, 2024 |
| Knowledge cutoff | — | — | 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—
- Hermes 2 Pro Llama 3 8B$1.68
- solar-mini$1.80
Which should you choose?
Which is better: Codestral-22B-v0.1, Hermes 2 Pro Llama 3 8B or solar-mini?
It is close. Our weighted score puts them within a point (solar-mini 15/100, Hermes 2 Pro Llama 3 8B 15/100, Codestral-22B-v0.1 0/100), so choose by what matters most for your work: Hermes 2 Pro Llama 3 8B on price. 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, Hermes 2 Pro Llama 3 8B or solar-mini?
Hermes 2 Pro Llama 3 8B is cheaper at $0.14 input / $0.14 output per million tokens (median across 2 API providers). solar-mini costs $0.15 input / $0.15 output per million tokens (official Upstage API price). At a typical mix of three input tokens to one output token, that is $0.14 per million tokens for Hermes 2 Pro Llama 3 8B versus $0.15 for solar-mini (1.1× 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, Hermes 2 Pro Llama 3 8B 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, Hermes 2 Pro Llama 3 8B 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?
Codestral-22B-v0.1 and solar-mini have the largest context windows (32,768 and 32,768 tokens), against 8,192 for Hermes 2 Pro Llama 3 8B. Maximum output per response: Codestral-22B-v0.1 up to 8,192, Hermes 2 Pro Llama 3 8B up to 8,192, solar-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Codestral-22B-v0.1 accepts text; Hermes 2 Pro Llama 3 8B 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 Hermes 2 Pro Llama 3 8B publishes its weights (Mistral AI Non-Production License and Llama 3 Community License) and can be self-hosted; solar-mini is proprietary.
Which is newer?
solar-mini is the newest, released Jun 12, 2024. Codestral-22B-v0.1 came out May 29, 2024; Hermes 2 Pro Llama 3 8B came out Apr 30, 2024. Knowledge cutoff: 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.
