Solar Pro 2 vs Muse Glimmer 30B vs Qwen-MT Turbo
Muse Glimmer 30B comes out ahead, 57 to 52 and 40 on our weighted score, though Qwen-MT Turbo is 2.2× cheaper per token.
Upstage
Solar Pro 2
52/100- ECI—
- Price$0.25 / $0.25
- Context66K
- Our pick
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
Alibaba (Qwen)Qwen-MT Turbo
40/100- ECI—
- Price$0.16 / $0.49
- Context16K
Muse Glimmer 30B is our pick
Muse Glimmer 30B is the better all-round choice, scoring 57/100 against Solar Pro 2 (52) and Qwen-MT Turbo (40). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. 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 priceQwen-MT TurboQwen-MT Turbo $0.242 · Solar Pro 2 $0.25 · Muse Glimmer 30B $0.525 per 1M tokens (3:1 blend)
- Longest contextMuse Glimmer 30BMuse Glimmer 30B 131,072 · Solar Pro 2 65,536 · Qwen-MT Turbo 16,384 tokens
- Widest inputsMuse Glimmer 30BSolar Pro 2: Text · Muse Glimmer 30B: Text, Images · Qwen-MT Turbo: Text
- Self-hostingMuse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Solar Pro 2 | Muse Glimmer 30B | Qwen-MT Turbo |
|---|---|---|---|---|
| Price | 50% | 78 | 63 | 79 |
| Inputs & features | 30% | 35 | 70 | 0 |
| Context window | 20% | 12 | 24 | 0 |
| Overall | 100% | 52/100 | 57/100 | 40/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Solar Pro 2Upstage | Muse Glimmer 30BMeta | Qwen-MT TurboAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.30 | $0.16 (best) |
| Output | $0.25 (best) | $1.20 | $0.49 |
| Cached input | — | — | — |
| Blended (3:1) | $0.25 | $0.525 | $0.242 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Upstage API | Median of 10 providers | Official Alibaba API |
| Limits | |||
| Context window | 65,536 tokens | 131,072 tokens (best) | 16,384 tokens |
| Max output | 8,192 tokens | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yesminimal · high | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Proprietary |
| API model ID | solar-pro2 | — | qwen-mt-turbo |
| API providers | 2 | 12 (best) | 1 |
| Released | May 20, 2025 | Aug 10, 2026 | Jan 2025 |
| Knowledge cutoff | Mar 2025 | Jan 4, 2026 | 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 Pro 2$3.00
- Muse Glimmer 30B$5.40
- Qwen-MT Turbo$2.58
Which should you choose?
Which is better: Solar Pro 2, Muse Glimmer 30B or Qwen-MT Turbo?
Muse Glimmer 30B is the better all-round choice, scoring 57/100 against Solar Pro 2 (52) and Qwen-MT Turbo (40). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Solar Pro 2, Muse Glimmer 30B or Qwen-MT Turbo?
Qwen-MT Turbo is cheaper at $0.16 input / $0.49 output per million tokens (official Alibaba API price). Solar Pro 2 costs $0.25 input / $0.25 output per million tokens (official Upstage API price); Muse Glimmer 30B costs $0.30 input / $1.20 output per million tokens (median across 10 API providers). At a typical mix of three input tokens to one output token, that is $0.242 per million tokens for Qwen-MT Turbo versus $0.25 for Solar Pro 2 (1× as much) and $0.525 for Muse Glimmer 30B (2.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Solar Pro 2 has not been scored yet, Muse Glimmer 30B has not been scored yet and Qwen-MT Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Solar Pro 2, Muse Glimmer 30B and Qwen-MT Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Turbo does not support tool calling, which most coding agents need.
Which has the bigger context window?
Muse Glimmer 30B has the largest context window at 131,072 tokens, against 65,536 for Solar Pro 2 and 16,384 for Qwen-MT Turbo. Maximum output per response: Solar Pro 2 up to 8,192, Muse Glimmer 30B up to 131,072, Qwen-MT Turbo up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 2 accepts text; Muse Glimmer 30B accepts text and images; Qwen-MT Turbo accepts text. Muse Glimmer 30B handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B publishes its weights (Apache 2.0) and can be self-hosted; Solar Pro 2 and Qwen-MT Turbo is proprietary.
Which is newer?
Muse Glimmer 30B is the newest, released Aug 10, 2026. Solar Pro 2 came out May 20, 2025; Qwen-MT Turbo came out Jan 2025. Knowledge cutoff: Solar Pro 2 Mar 2025, Muse Glimmer 30B Jan 4, 2026, Qwen-MT Turbo 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 Oct 4, 2026.
