Hermes 2 Pro Llama 3 8B vs SOLAR 10.7B Instruct v1.0 vs solar-mini
Too close to call on our weighted score (solar-mini 15, Hermes 2 Pro Llama 3 8B 15, SOLAR 10.7B Instruct v1.0 0). The right pick depends on what you value most.
Nous ResearchHermes 2 Pro Llama 3 8B
15/100- ECI—
- Price$0.14 / $0.14
- Context8K
UpstageSOLAR 10.7B Instruct v1.0
0/100- ECI—
- Price—
- Context4K
- Upstage
solar-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, SOLAR 10.7B Instruct v1.0 0/100), so choose by what matters most for your work: Hermes 2 Pro Llama 3 8B on price and solar-mini 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 2 Pro Llama 3 8BHermes 2 Pro Llama 3 8B $0.14 · solar-mini $0.15 per 1M tokens (3:1 blend) · SOLAR 10.7B Instruct v1.0 unpriced
- Longest contextsolar-minisolar-mini 32,768 · Hermes 2 Pro Llama 3 8B 8,192 · SOLAR 10.7B Instruct v1.0 4,096 tokens
- Widest inputsSame inputsHermes 2 Pro Llama 3 8B: Text · SOLAR 10.7B Instruct v1.0: Text · solar-mini: Text
- Self-hostingHermes 2 Pro Llama 3 8B and SOLAR 10.7B Instruct v1.0Publishes downloadable weights (Llama 3 Community License and CC-BY-NC-4.0)
| Measure | Weight | Hermes 2 Pro Llama 3 8B | SOLAR 10.7B Instruct v1.0 | solar-mini |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 0 | 25 |
| Context window | 40% | 0 | 0 | 0 |
| Overall | 100% | 15/100 | 0/100 | 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 | Hermes 2 Pro Llama 3 8BNous Research | SOLAR 10.7B Instruct v1.0Upstage | 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 | 8,192 tokens | 4,096 tokens | 32,768 tokens (best) |
| Max output | 8,192 tokens (best) | 4,096 tokens | 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 | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenLlama 3 Community License | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | — | — | solar-mini |
| API providers | 2 (best) | — | 1 |
| Released | Apr 30, 2024 | Dec 12, 2023 | 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.
- Hermes 2 Pro Llama 3 8B$1.68
- SOLAR 10.7B Instruct v1.0—
- solar-mini$1.80
Which should you choose?
Which is better: Hermes 2 Pro Llama 3 8B, SOLAR 10.7B Instruct v1.0 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, SOLAR 10.7B Instruct v1.0 0/100), so choose by what matters most for your work: Hermes 2 Pro Llama 3 8B on price and solar-mini 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, Hermes 2 Pro Llama 3 8B, SOLAR 10.7B Instruct v1.0 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). 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. Hermes 2 Pro Llama 3 8B has not been scored yet, SOLAR 10.7B Instruct v1.0 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 Hermes 2 Pro Llama 3 8B, SOLAR 10.7B Instruct v1.0 and solar-mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that SOLAR 10.7B Instruct v1.0 does not support tool calling, which most coding agents need.
Which has the bigger context window?
solar-mini has the largest context window at 32,768 tokens, against 8,192 for Hermes 2 Pro Llama 3 8B and 4,096 for SOLAR 10.7B Instruct v1.0. Maximum output per response: Hermes 2 Pro Llama 3 8B up to 8,192, SOLAR 10.7B Instruct v1.0 up to 4,096, solar-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Hermes 2 Pro Llama 3 8B accepts text; SOLAR 10.7B Instruct v1.0 accepts text; solar-mini accepts text. They handle the same number of input types.
Are any of these open source?
Hermes 2 Pro Llama 3 8B and SOLAR 10.7B Instruct v1.0 publishes its weights (Llama 3 Community License and CC-BY-NC-4.0) and can be self-hosted; solar-mini is proprietary.
Which is newer?
solar-mini is the newest, released Jun 12, 2024. Hermes 2 Pro Llama 3 8B came out Apr 30, 2024; SOLAR 10.7B Instruct v1.0 came out Dec 12, 2023. 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.
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