Solar Pro 4 vs Jamba Mini vs Muse Glimmer 30B
Too close to call on our weighted score (Muse Glimmer 30B 57, Jamba Mini 57, Solar Pro 4 55). The right pick depends on what you value most.
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
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 a point (Muse Glimmer 30B 57/100, Jamba Mini 57/100, Solar Pro 4 55/100), so choose by what matters most for your work: Jamba Mini on price and Solar Pro 4 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 priceJamba MiniJamba Mini $0.25 · Solar Pro 4 $0.525 · Muse Glimmer 30B $0.525 per 1M tokens (3:1 blend)
- Longest contextSolar Pro 4Solar Pro 4 524,288 · Jamba Mini 256,000 · Muse Glimmer 30B 131,072 tokens
- Widest inputsMuse Glimmer 30BSolar Pro 4: Text · Jamba Mini: Text · Muse Glimmer 30B: Text, Images
- Self-hostingJamba Mini and Muse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Solar Pro 4 | Jamba Mini | Muse Glimmer 30B |
|---|---|---|---|---|
| Price | 50% | 63 | 78 | 63 |
| Inputs & features | 30% | 45 | 35 | 70 |
| Context window | 20% | 49 | 36 | 24 |
| Overall | 100% | 55/100 | 57/100 | 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 | Solar Pro 4Upstage | Jamba MiniAI21 Labs | Muse Glimmer 30BMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.20 (best) | $0.30 |
| Output | $1.20 | $0.40 (best) | $1.20 |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $0.525 | $0.25 (best) | $0.525 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Upstage API | Official AI21 Labs API | Median of 10 providers |
| Limits | |||
| Context window | 524,288 tokens (best) | 256,000 tokens | 131,072 tokens |
| Max output | 131,072 tokens (best) | 4,096 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | solar-pro4 | jamba-mini | — |
| API providers | 3 | 1 | 12 (best) |
| Released | Aug 6, 2026 | Jan 1, 2026 | Aug 10, 2026 |
| Knowledge cutoff | Feb 2026 | Aug 22, 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.
- Solar Pro 4$5.40
- Jamba Mini$2.80
- Muse Glimmer 30B$5.40
Which should you choose?
Which is better: Solar Pro 4, Jamba Mini or Muse Glimmer 30B?
It is close. Our weighted score puts them within a point (Muse Glimmer 30B 57/100, Jamba Mini 57/100, Solar Pro 4 55/100), so choose by what matters most for your work: Jamba Mini on price and Solar Pro 4 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, Solar Pro 4, Jamba Mini or Muse Glimmer 30B?
Jamba Mini is cheaper at $0.20 input / $0.40 output per million tokens (official AI21 Labs API price). Solar Pro 4 costs $0.30 input / $1.20 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 $0.25 per million tokens for Jamba Mini versus $0.525 for Solar Pro 4 (2.1× as much) and $0.525 for Muse Glimmer 30B (2.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Solar Pro 4 has not been scored yet, Jamba Mini 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 Solar Pro 4, Jamba Mini 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?
Solar Pro 4 has the largest context window at 524,288 tokens, against 256,000 for Jamba Mini and 131,072 for Muse Glimmer 30B. Maximum output per response: Solar Pro 4 up to 131,072, Jamba Mini up to 4,096, Muse Glimmer 30B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 4 accepts text; Jamba Mini accepts text; Muse Glimmer 30B accepts text and images. Muse Glimmer 30B handles the widest range of inputs.
Are any of these open source?
Jamba Mini and Muse Glimmer 30B publishes its weights (Apache 2.0) and can be self-hosted; Solar Pro 4 is proprietary.
Which is newer?
Muse Glimmer 30B is the newest, released Aug 10, 2026. Solar Pro 4 came out Aug 6, 2026; Jamba Mini came out Jan 1, 2026. Knowledge cutoff: Solar Pro 4 Feb 2026, Jamba Mini Aug 22, 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.
