Aya Expanse 32B vs Hermes 3 70B Instruct vs SOLAR 10.7B Instruct v1.0
Too close to call on our weighted score (Hermes 3 70B Instruct 10, Aya Expanse 32B 10, SOLAR 10.7B Instruct v1.0 0). The right pick depends on what you value most.
CohereAya Expanse 32B
10/100- ECI—
- Price$0.50 / $1.50
- Context128K
Nous ResearchHermes 3 70B Instruct
10/100- ECI—
- Price$0.70 / $0.70
- Context131K
UpstageSOLAR 10.7B Instruct v1.0
0/100- ECI—
- Price—
- Context4K
Too close to call
It is close. Our weighted score puts them within a point (Hermes 3 70B Instruct 10/100, Aya Expanse 32B 10/100, SOLAR 10.7B Instruct v1.0 0/100), so choose by what matters most for your work: Hermes 3 70B Instruct on price and Hermes 3 70B Instruct for long inputs. 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 3 70B InstructHermes 3 70B Instruct $0.70 · Aya Expanse 32B $0.75 per 1M tokens (3:1 blend) · SOLAR 10.7B Instruct v1.0 unpriced
- Longest contextHermes 3 70B InstructHermes 3 70B Instruct 131,072 · Aya Expanse 32B 128,000 · SOLAR 10.7B Instruct v1.0 4,096 tokens
- Widest inputsSame inputsAya Expanse 32B: Text · Hermes 3 70B Instruct: Text · SOLAR 10.7B Instruct v1.0: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Aya Expanse 32B | Hermes 3 70B Instruct | SOLAR 10.7B Instruct v1.0 |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 0 | 0 |
| Context window | 40% | 24 | 25 | 0 |
| Overall | 100% | 10/100 | 10/100 | 0/100 |
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 | Aya Expanse 32BCohere | Hermes 3 70B InstructNous Research | SOLAR 10.7B Instruct v1.0Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 (best) | $0.70 | — |
| Output | $1.50 | $0.70 (best) | — |
| Cached input | — | — | — |
| Blended (3:1) | $0.75 | $0.70 (best) | — |
| Long-context rate | Same rate | Same rate | — |
| Price source | Official Cohere API | Median of 5 providers | — |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens (best) | 4,096 tokens |
| Max output | 4,000 tokens | 16,384 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 | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | Open | OpenCC-BY-NC-4.0 |
| API model ID | c4ai-aya-expanse-32b | — | — |
| API providers | 2 | 5 (best) | — |
| Released | Oct 24, 2024 | Aug 18, 2024 | Dec 12, 2023 |
| Knowledge cutoff | — | Dec 31, 2023 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Aya Expanse 32B$8.00
- Hermes 3 70B Instruct$8.40
- SOLAR 10.7B Instruct v1.0—
Which should you choose?
Which is better: Aya Expanse 32B, Hermes 3 70B Instruct or SOLAR 10.7B Instruct v1.0?
It is close. Our weighted score puts them within a point (Hermes 3 70B Instruct 10/100, Aya Expanse 32B 10/100, SOLAR 10.7B Instruct v1.0 0/100), so choose by what matters most for your work: Hermes 3 70B Instruct on price and Hermes 3 70B Instruct for long inputs. 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, Aya Expanse 32B, Hermes 3 70B Instruct or SOLAR 10.7B Instruct v1.0?
Hermes 3 70B Instruct is cheaper at $0.70 input / $0.70 output per million tokens (median across 5 API providers). Aya Expanse 32B costs $0.50 input / $1.50 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Hermes 3 70B Instruct versus $0.75 for Aya Expanse 32B (1.1× as much). SOLAR 10.7B Instruct v1.0 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Aya Expanse 32B has not been scored yet, Hermes 3 70B Instruct has not been scored yet and SOLAR 10.7B Instruct v1.0 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Expanse 32B, Hermes 3 70B Instruct and SOLAR 10.7B Instruct v1.0 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 32B, Hermes 3 70B Instruct and SOLAR 10.7B Instruct v1.0 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Hermes 3 70B Instruct has the largest context window at 131,072 tokens, against 128,000 for Aya Expanse 32B and 4,096 for SOLAR 10.7B Instruct v1.0. Maximum output per response: Aya Expanse 32B up to 4,000, Hermes 3 70B Instruct up to 16,384, SOLAR 10.7B Instruct v1.0 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Aya Expanse 32B accepts text; Hermes 3 70B Instruct accepts text; SOLAR 10.7B Instruct v1.0 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Aya Expanse 32B is the newest, released Oct 24, 2024. Hermes 3 70B Instruct came out Aug 18, 2024; SOLAR 10.7B Instruct v1.0 came out Dec 12, 2023. Knowledge cutoff: Hermes 3 70B Instruct Dec 31, 2023.
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.
