Solar Pro 4 vs Laguna XS 2.1 vs Muse Glimmer 30B
Laguna XS 2.1 comes out ahead, 68 to 57 and 55 on our weighted score, and it is the cheaper option too.
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
- Our pick
PoolsideLaguna XS 2.1
68/100- ECI—
- Price$0.06 / $0.12
- Context262K
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
Laguna XS 2.1 is our pick
Laguna XS 2.1 is the better all-round choice, scoring 68/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on price. Solar Pro 4 wins on context window. Muse Glimmer 30B wins on inputs & features. 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 priceLaguna XS 2.1Laguna XS 2.1 $0.075 · Solar Pro 4 $0.525 · Muse Glimmer 30B $0.525 per 1M tokens (3:1 blend)
- Longest contextSolar Pro 4Solar Pro 4 524,288 · Laguna XS 2.1 262,144 · Muse Glimmer 30B 131,072 tokens
- Widest inputsMuse Glimmer 30BSolar Pro 4: Text · Laguna XS 2.1: Text · Muse Glimmer 30B: Text, Images
- Self-hostingLaguna XS 2.1 and Muse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Solar Pro 4 | Laguna XS 2.1 | Muse Glimmer 30B |
|---|---|---|---|---|
| Price | 50% | 63 | 100 | 63 |
| Inputs & features | 30% | 45 | 35 | 70 |
| Context window | 20% | 49 | 37 | 24 |
| Overall | 100% | 55/100 | 68/100 | 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 | Laguna XS 2.1Poolside | Muse Glimmer 30BMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.06 (best) | $0.30 |
| Output | $1.20 | $0.12 (best) | $1.20 |
| Cached input | $0.06 | — | — |
| Blended (3:1) | $0.525 | $0.075 (best) | $0.525 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Upstage API | Median of 1 providers | Median of 10 providers |
| Limits | |||
| Context window | 524,288 tokens (best) | 262,144 tokens | 131,072 tokens |
| Max output | 131,072 tokens (best) | 32,768 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 | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | solar-pro4 | poolside/laguna-xs-2.1 | — |
| API providers | 3 | 4 | 12 (best) |
| Released | Aug 6, 2026 | Jul 2, 2026 | Aug 10, 2026 |
| Knowledge cutoff | Feb 2026 | — | 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
- Laguna XS 2.1$0.84
- Muse Glimmer 30B$5.40
Which should you choose?
Which is better: Solar Pro 4, Laguna XS 2.1 or Muse Glimmer 30B?
Laguna XS 2.1 is the better all-round choice, scoring 68/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on price. Solar Pro 4 wins on context window. Muse Glimmer 30B wins on inputs & features. 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, Laguna XS 2.1 or Muse Glimmer 30B?
Laguna XS 2.1 is cheaper at $0.06 input / $0.12 output per million tokens (median across 1 API provider; free on Poolside). 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 $0.075 per million tokens for Laguna XS 2.1 versus $0.525 for Solar Pro 4 (7× as much) and $0.525 for Muse Glimmer 30B (7× 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, Laguna XS 2.1 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, Laguna XS 2.1 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 262,144 for Laguna XS 2.1 and 131,072 for Muse Glimmer 30B. Maximum output per response: Solar Pro 4 up to 131,072, Laguna XS 2.1 up to 32,768, Muse Glimmer 30B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 4 accepts text; Laguna XS 2.1 accepts text; Muse Glimmer 30B accepts text and images. Muse Glimmer 30B handles the widest range of inputs.
Are any of these open source?
Laguna XS 2.1 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; Laguna XS 2.1 came out Jul 2, 2026. Knowledge cutoff: Solar Pro 4 Feb 2026, 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.
