Muse Glimmer 30B vs Ornith 1.5 35B A3B vs Qwen 3.8 Max Prime
Too close to call on our weighted score (Ornith 1.5 35B A3B 59, Muse Glimmer 30B 57, Qwen 3.8 Max Prime 42). The right pick depends on what you value most.
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
DeepReinforce
Ornith 1.5 35B A3B
59/100- ECI—
- Price$0.20 / $1.70
- Context262K
Alibaba (Qwen)Qwen 3.8 Max Prime
42/100- ECI—
- Price$4.00 / $12.00
- Context1M
Too close to call
It is close. Our weighted score puts them within 1 points (Ornith 1.5 35B A3B 59/100, Muse Glimmer 30B 57/100, Qwen 3.8 Max Prime 42/100), so choose by what matters most for your work: Muse Glimmer 30B on price and Qwen 3.8 Max Prime for long inputs. 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 priceMuse Glimmer 30BMuse Glimmer 30B $0.525 · Ornith 1.5 35B A3B $0.575 · Qwen 3.8 Max Prime $6.00 per 1M tokens (3:1 blend)
- Longest contextQwen 3.8 Max PrimeQwen 3.8 Max Prime 1,000,000 · Ornith 1.5 35B A3B 262,144 · Muse Glimmer 30B 131,072 tokens
- Widest inputsQwen 3.8 Max PrimeMuse Glimmer 30B: Text, Images · Ornith 1.5 35B A3B: Text, Images · Qwen 3.8 Max Prime: Text, Images, Video
- Self-hostingMuse Glimmer 30B and Ornith 1.5 35B A3BPublishes downloadable weights (Apache 2.0 and MIT)
| Measure | Weight | Muse Glimmer 30B | Ornith 1.5 35B A3B | Qwen 3.8 Max Prime |
|---|---|---|---|---|
| Price | 50% | 63 | 61 | 13 |
| Inputs & features | 30% | 70 | 70 | 80 |
| Context window | 20% | 24 | 37 | 60 |
| Overall | 100% | 57/100 | 59/100 | 42/100 |
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 | Muse Glimmer 30BMeta | Ornith 1.5 35B A3BDeepReinforce | Qwen 3.8 Max PrimeAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.20 (best) | $4.00 |
| Output | $1.20 (best) | $1.70 | $12.00 |
| Cached input | — | — | — |
| Blended (3:1) | $0.525 (best) | $0.575 | $6.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 10 providers | Median of 2 providers | Median of 4 providers |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | 131,072 tokens | — | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | OpenMIT | Proprietary |
| API model ID | — | — | — |
| API providers | 12 (best) | 2 | 4 |
| Released | Aug 10, 2026 | Aug 18, 2026 | Sep 23, 2026 |
| Knowledge cutoff | 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.
- Muse Glimmer 30B$5.40
- Ornith 1.5 35B A3B$5.40
- Qwen 3.8 Max Prime$64.00
Which should you choose?
Which is better: Muse Glimmer 30B, Ornith 1.5 35B A3B or Qwen 3.8 Max Prime?
It is close. Our weighted score puts them within 1 points (Ornith 1.5 35B A3B 59/100, Muse Glimmer 30B 57/100, Qwen 3.8 Max Prime 42/100), so choose by what matters most for your work: Muse Glimmer 30B on price and Qwen 3.8 Max Prime for long inputs. 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, Muse Glimmer 30B, Ornith 1.5 35B A3B or Qwen 3.8 Max Prime?
Muse Glimmer 30B is cheaper at $0.30 input / $1.20 output per million tokens (median across 10 API providers). Ornith 1.5 35B A3B costs $0.20 input / $1.70 output per million tokens (median across 2 API providers); Qwen 3.8 Max Prime costs $4.00 input / $12.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Muse Glimmer 30B versus $0.575 for Ornith 1.5 35B A3B (1.1× as much) and $6.00 for Qwen 3.8 Max Prime (11× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Muse Glimmer 30B has not been scored yet, Ornith 1.5 35B A3B has not been scored yet and Qwen 3.8 Max Prime has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Glimmer 30B, Ornith 1.5 35B A3B and Qwen 3.8 Max Prime yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen 3.8 Max Prime has the largest context window at 1,000,000 tokens, against 262,144 for Ornith 1.5 35B A3B and 131,072 for Muse Glimmer 30B. Maximum output per response: Muse Glimmer 30B up to 131,072, Qwen 3.8 Max Prime up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Muse Glimmer 30B accepts text and images; Ornith 1.5 35B A3B accepts text and images; Qwen 3.8 Max Prime accepts text, images and video. Qwen 3.8 Max Prime handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B and Ornith 1.5 35B A3B publishes its weights (Apache 2.0 and MIT) and can be self-hosted; Qwen 3.8 Max Prime is proprietary.
Which is newer?
Qwen 3.8 Max Prime is the newest, released Sep 23, 2026. Ornith 1.5 35B A3B came out Aug 18, 2026; Muse Glimmer 30B came out Aug 10, 2026. Knowledge cutoff: 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.
