Qwen-MT Turbo vs Muse Glimmer 30B
Muse Glimmer 30B comes out ahead, 57 to 40 on our weighted score, though Qwen-MT Turbo is 2.2× cheaper per token.
Alibaba (Qwen)Qwen-MT Turbo
40/100- ECI—
- Price$0.16 / $0.49
- Context16K
- Our pick
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
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Make it a three-way comparison.
Muse Glimmer 30B is our pick
Muse Glimmer 30B is the better all-round choice, scoring 57/100 against Qwen-MT Turbo (40). It leads on inputs & features and context window. Qwen-MT Turbo wins on price. 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 · Muse Glimmer 30B $0.525 per 1M tokens (3:1 blend)
- Longest contextMuse Glimmer 30BMuse Glimmer 30B 131,072 · Qwen-MT Turbo 16,384 tokens
- Widest inputsMuse Glimmer 30BQwen-MT Turbo: Text · Muse Glimmer 30B: Text, Images
- Self-hostingMuse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Qwen-MT Turbo | Muse Glimmer 30B |
|---|---|---|---|
| Price | 50% | 79 | 63 |
| Inputs & features | 30% | 0 | 70 |
| Context window | 20% | 0 | 24 |
| Overall | 100% | 40/100 | 57/100 |
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 | Qwen-MT TurboAlibaba (Qwen) | Muse Glimmer 30BMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.16 (best) | $0.30 |
| Output | $0.49 (best) | $1.20 |
| Cached input | — | — |
| Blended (3:1) | $0.242 (best) | $0.525 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 10 providers |
| Limits | ||
| Context window | 16,384 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | OpenApache 2.0 |
| API model ID | qwen-mt-turbo | — |
| API providers | 1 | 12 (best) |
| Released | Jan 2025 | Aug 10, 2026 |
| Knowledge cutoff | Apr 2024 | Jan 4, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen-MT Turbo$2.58
- Muse Glimmer 30B$5.40
Which should you choose?
Which is better: Qwen-MT Turbo or Muse Glimmer 30B?
Muse Glimmer 30B is the better all-round choice, scoring 57/100 against Qwen-MT Turbo (40). It leads on inputs & features and context window. Qwen-MT Turbo wins on price. 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, Qwen-MT Turbo or Muse Glimmer 30B?
Qwen-MT Turbo is cheaper at $0.16 input / $0.49 output per million tokens (official Alibaba 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 $0.525 for Muse Glimmer 30B (2.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen-MT Turbo has not been scored yet and Muse Glimmer 30B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen-MT Turbo and Muse Glimmer 30B 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 16,384 for Qwen-MT Turbo. Maximum output per response: Qwen-MT Turbo up to 8,192, Muse Glimmer 30B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen-MT Turbo accepts text; Muse Glimmer 30B accepts text and images. 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; Qwen-MT Turbo is proprietary.
Which is newer?
Muse Glimmer 30B is the newest, released Aug 10, 2026. Qwen-MT Turbo came out Jan 2025. Knowledge cutoff: Qwen-MT Turbo Apr 2024, Muse Glimmer 30B Jan 4, 2026.
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.
