Muse Glimmer 30B vs Qwen3.8 Flash Next vs Solar Pro 4
Qwen3.8 Flash Next comes out ahead, 70 to 57 and 55 on our weighted score, and it is the cheaper option too.
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
- Our pick
Alibaba (Qwen)Qwen3.8 Flash Next
70/100- ECI—
- Price$0.20 / $0.50
- Context262K
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
Qwen3.8 Flash Next is our pick
Qwen3.8 Flash Next is the better all-round choice, scoring 70/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on price and inputs & features. Solar Pro 4 wins on 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 priceQwen3.8 Flash NextQwen3.8 Flash Next $0.275 · Muse Glimmer 30B $0.525 · Solar Pro 4 $0.525 per 1M tokens (3:1 blend)
- Longest contextSolar Pro 4Solar Pro 4 524,288 · Qwen3.8 Flash Next 262,144 · Muse Glimmer 30B 131,072 tokens
- Widest inputsQwen3.8 Flash NextMuse Glimmer 30B: Text, Images · Qwen3.8 Flash Next: Text, Images, Video · Solar Pro 4: Text
- Self-hostingMuse Glimmer 30B and Qwen3.8 Flash NextPublishes downloadable weights (Apache 2.0 and qwen-community-1.0)
| Measure | Weight | Muse Glimmer 30B | Qwen3.8 Flash Next | Solar Pro 4 |
|---|---|---|---|---|
| Price | 50% | 63 | 76 | 63 |
| Inputs & features | 30% | 70 | 80 | 45 |
| Context window | 20% | 24 | 37 | 49 |
| Overall | 100% | 57/100 | 70/100 | 55/100 |
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 | Qwen3.8 Flash NextAlibaba (Qwen) | Solar Pro 4Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.20 (best) | $0.30 |
| Output | $1.20 | $0.50 (best) | $1.20 |
| Cached input | — | — | $0.06 |
| Blended (3:1) | $0.525 | $0.275 (best) | $0.525 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 10 providers | Median of 5 providers | Official Upstage API |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens | 524,288 tokens (best) |
| Max output | 131,072 tokens | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Openqwen-community-1.0 | Proprietary |
| API model ID | — | — | solar-pro4 |
| API providers | 12 (best) | 5 | 3 |
| Released | Aug 10, 2026 | Aug 27, 2026 | Aug 6, 2026 |
| Knowledge cutoff | Jan 4, 2026 | — | Feb 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
- Qwen3.8 Flash Next$3.00
- Solar Pro 4$5.40
Which should you choose?
Which is better: Muse Glimmer 30B, Qwen3.8 Flash Next or Solar Pro 4?
Qwen3.8 Flash Next is the better all-round choice, scoring 70/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on price and inputs & features. Solar Pro 4 wins on 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, Muse Glimmer 30B, Qwen3.8 Flash Next or Solar Pro 4?
Qwen3.8 Flash Next is cheaper at $0.20 input / $0.50 output per million tokens (median across 5 API providers). Muse Glimmer 30B costs $0.30 input / $1.20 output per million tokens (median across 10 API providers); Solar Pro 4 costs $0.30 input / $1.20 output per million tokens (official Upstage API price). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Qwen3.8 Flash Next versus $0.525 for Muse Glimmer 30B (1.9× as much) and $0.525 for Solar Pro 4 (1.9× 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, Qwen3.8 Flash Next has not been scored yet and Solar Pro 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Glimmer 30B, Qwen3.8 Flash Next and Solar Pro 4 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?
Solar Pro 4 has the largest context window at 524,288 tokens, against 262,144 for Qwen3.8 Flash Next and 131,072 for Muse Glimmer 30B. Maximum output per response: Muse Glimmer 30B up to 131,072, Qwen3.8 Flash Next up to 131,072, Solar Pro 4 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Muse Glimmer 30B accepts text and images; Qwen3.8 Flash Next accepts text, images and video; Solar Pro 4 accepts text. Qwen3.8 Flash Next handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B and Qwen3.8 Flash Next publishes its weights (Apache 2.0 and qwen-community-1.0) and can be self-hosted; Solar Pro 4 is proprietary.
Which is newer?
Qwen3.8 Flash Next is the newest, released Aug 27, 2026. Muse Glimmer 30B came out Aug 10, 2026; Solar Pro 4 came out Aug 6, 2026. Knowledge cutoff: Muse Glimmer 30B Jan 4, 2026, Solar Pro 4 Feb 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.
