Ornith 1.5 35B A3B vs Qwen 3.8 Max Prime vs Muse Glimmer 30B
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.
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
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
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 PrimeOrnith 1.5 35B A3B: Text, Images · Qwen 3.8 Max Prime: Text, Images, Video · Muse Glimmer 30B: Text, Images
- Self-hostingOrnith 1.5 35B A3B and Muse Glimmer 30BPublishes downloadable weights (MIT and Apache 2.0)
| Measure | Weight | Ornith 1.5 35B A3B | Qwen 3.8 Max Prime | Muse Glimmer 30B |
|---|---|---|---|---|
| Price | 50% | 61 | 13 | 63 |
| Inputs & features | 30% | 70 | 80 | 70 |
| Context window | 20% | 37 | 60 | 24 |
| Overall | 100% | 59/100 | 42/100 | 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 | Ornith 1.5 35B A3BDeepReinforce | Qwen 3.8 Max PrimeAlibaba (Qwen) | Muse Glimmer 30BMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 (best) | $4.00 | $0.30 |
| Output | $1.70 | $12.00 | $1.20 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.575 | $6.00 | $0.525 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 4 providers | Median of 10 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,000,000 tokens (best) | 131,072 tokens |
| 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 | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | OpenMIT | Proprietary | OpenApache 2.0 |
| API model ID | — | — | — |
| API providers | 2 | 4 | 12 (best) |
| Released | Aug 18, 2026 | Sep 23, 2026 | Aug 10, 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.
- Ornith 1.5 35B A3B$5.40
- Qwen 3.8 Max Prime$64.00
- Muse Glimmer 30B$5.40
Which should you choose?
Which is better: Ornith 1.5 35B A3B, Qwen 3.8 Max Prime or Muse Glimmer 30B?
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, Ornith 1.5 35B A3B, Qwen 3.8 Max Prime or Muse Glimmer 30B?
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. Ornith 1.5 35B A3B has not been scored yet, Qwen 3.8 Max Prime 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 Ornith 1.5 35B A3B, Qwen 3.8 Max Prime and Muse Glimmer 30B 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: Qwen 3.8 Max Prime up to 131,072, Muse Glimmer 30B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Ornith 1.5 35B A3B accepts text and images; Qwen 3.8 Max Prime accepts text, images and video; Muse Glimmer 30B accepts text and images. Qwen 3.8 Max Prime handles the widest range of inputs.
Are any of these open source?
Ornith 1.5 35B A3B and Muse Glimmer 30B publishes its weights (MIT and Apache 2.0) 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.
