SOLAR 10.7B Instruct v1.0 vs Hermes 3 70B Instruct vs Qwen Plus Character (Japanese)
Hermes 3 70B Instruct comes out ahead, 10 to 0 and 0 on our weighted score, and it is the cheaper option too.
UpstageSOLAR 10.7B Instruct v1.0
0/100- ECI—
- Price—
- Context4K
- Our pick
Nous ResearchHermes 3 70B Instruct
10/100- ECI—
- Price$0.70 / $0.70
- Context131K
Alibaba (Qwen)Qwen Plus Character (Japanese)
0/100- ECI—
- Price$0.50 / $1.40
- Context8K
Hermes 3 70B Instruct is our pick
Hermes 3 70B Instruct is the better all-round choice, scoring 10/100 against SOLAR 10.7B Instruct v1.0 (0) and Qwen Plus Character (Japanese) (0). It leads on 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 priceHermes 3 70B InstructHermes 3 70B Instruct $0.70 · Qwen Plus Character (Japanese) $0.725 per 1M tokens (3:1 blend) · SOLAR 10.7B Instruct v1.0 unpriced
- Longest contextHermes 3 70B InstructHermes 3 70B Instruct 131,072 · Qwen Plus Character (Japanese) 8,192 · SOLAR 10.7B Instruct v1.0 4,096 tokens
- Widest inputsSame inputsSOLAR 10.7B Instruct v1.0: Text · Hermes 3 70B Instruct: Text · Qwen Plus Character (Japanese): Text
- Self-hostingSOLAR 10.7B Instruct v1.0 and Hermes 3 70B InstructPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | SOLAR 10.7B Instruct v1.0 | Hermes 3 70B Instruct | Qwen Plus Character (Japanese) |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 0 | 0 |
| Context window | 40% | 0 | 25 | 0 |
| Overall | 100% | 0/100 | 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 | SOLAR 10.7B Instruct v1.0Upstage | Hermes 3 70B InstructNous Research | Qwen Plus Character (Japanese)Alibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.70 | $0.50 (best) |
| Output | — | $0.70 (best) | $1.40 |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.70 (best) | $0.725 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 5 providers | Official Alibaba API |
| Limits | |||
| Context window | 4,096 tokens | 131,072 tokens (best) | 8,192 tokens |
| Max output | 4,096 tokens | 16,384 tokens (best) | 512 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 | Proprietary |
| API model ID | — | — | qwen-plus-character-ja |
| API providers | — | 5 (best) | 1 |
| Released | Dec 12, 2023 | Aug 18, 2024 | Jan 2024 |
| Knowledge cutoff | — | Dec 31, 2023 | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- SOLAR 10.7B Instruct v1.0—
- Hermes 3 70B Instruct$8.40
- Qwen Plus Character (Japanese)$7.80
Which should you choose?
Which is better: SOLAR 10.7B Instruct v1.0, Hermes 3 70B Instruct or Qwen Plus Character (Japanese)?
Hermes 3 70B Instruct is the better all-round choice, scoring 10/100 against SOLAR 10.7B Instruct v1.0 (0) and Qwen Plus Character (Japanese) (0). It leads on 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, SOLAR 10.7B Instruct v1.0, Hermes 3 70B Instruct or Qwen Plus Character (Japanese)?
Hermes 3 70B Instruct is cheaper at $0.70 input / $0.70 output per million tokens (median across 5 API providers). Qwen Plus Character (Japanese) costs $0.50 input / $1.40 output per million tokens (official Alibaba 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 $0.725 for Qwen Plus Character (Japanese) (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. SOLAR 10.7B Instruct v1.0 has not been scored yet, Hermes 3 70B Instruct has not been scored yet and Qwen Plus Character (Japanese) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for SOLAR 10.7B Instruct v1.0, Hermes 3 70B Instruct and Qwen Plus Character (Japanese) 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, Hermes 3 70B Instruct and Qwen Plus Character (Japanese) 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 8,192 for Qwen Plus Character (Japanese) and 4,096 for SOLAR 10.7B Instruct v1.0. Maximum output per response: SOLAR 10.7B Instruct v1.0 up to 4,096, Hermes 3 70B Instruct up to 16,384, Qwen Plus Character (Japanese) up to 512 tokens.
Which can read images, PDFs, audio or video?
SOLAR 10.7B Instruct v1.0 accepts text; Hermes 3 70B Instruct accepts text; Qwen Plus Character (Japanese) accepts text. They handle the same number of input types.
Are any of these open source?
SOLAR 10.7B Instruct v1.0 and Hermes 3 70B Instruct publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Qwen Plus Character (Japanese) is proprietary.
Which is newer?
Hermes 3 70B Instruct is the newest, released Aug 18, 2024. Qwen Plus Character (Japanese) came out Jan 2024; SOLAR 10.7B Instruct v1.0 came out Dec 12, 2023. Knowledge cutoff: Hermes 3 70B Instruct Dec 31, 2023, Qwen Plus Character (Japanese) Apr 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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