Solar Pro 4 vs Llama-3.2-11B-Vision-Instruct vs Muse Glimmer 30B
Too close to call on our weighted score (Llama-3.2-11B-Vision-Instruct 58, Muse Glimmer 30B 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
MetaLlama-3.2-11B-Vision-Instruct
58/100- ECI—
- Price$0.197 / $0.51
- Context128K
- Meta
Muse 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 (Llama-3.2-11B-Vision-Instruct 58/100, Muse Glimmer 30B 57/100, Solar Pro 4 55/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct 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 priceLlama-3.2-11B-Vision-InstructLlama-3.2-11B-Vision-Instruct $0.275 · Solar Pro 4 $0.525 · Muse Glimmer 30B $0.525 per 1M tokens (3:1 blend)
- Longest contextSolar Pro 4Solar Pro 4 524,288 · Muse Glimmer 30B 131,072 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
- Widest inputsLlama-3.2-11B-Vision-Instruct and Muse Glimmer 30BSolar Pro 4: Text · Llama-3.2-11B-Vision-Instruct: Text, Images · Muse Glimmer 30B: Text, Images
- Self-hostingLlama-3.2-11B-Vision-Instruct and Muse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Solar Pro 4 | Llama-3.2-11B-Vision-Instruct | Muse Glimmer 30B |
|---|---|---|---|---|
| Price | 50% | 63 | 76 | 63 |
| Inputs & features | 30% | 45 | 50 | 70 |
| Context window | 20% | 49 | 24 | 24 |
| Overall | 100% | 55/100 | 58/100 | 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 | Llama-3.2-11B-Vision-InstructMeta | Muse Glimmer 30BMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | $0.197 (best) | $0.30 |
| Output | $1.20 | $0.51 (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 | Official Upstage API | Median of 2 providers | Median of 10 providers |
| Limits | |||
| Context window | 524,288 tokens (best) | 128,000 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 | Yes | 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 | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | OpenApache 2.0 |
| API model ID | solar-pro4 | — | — |
| API providers | 3 | 2 | 12 (best) |
| Released | Aug 6, 2026 | Sep 25, 2024 | Aug 10, 2026 |
| Knowledge cutoff | Feb 2026 | Dec 2023 | 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
- Llama-3.2-11B-Vision-Instruct$2.99
- Muse Glimmer 30B$5.40
Which should you choose?
Which is better: Solar Pro 4, Llama-3.2-11B-Vision-Instruct or Muse Glimmer 30B?
It is close. Our weighted score puts them within a point (Llama-3.2-11B-Vision-Instruct 58/100, Muse Glimmer 30B 57/100, Solar Pro 4 55/100), so choose by what matters most for your work: Llama-3.2-11B-Vision-Instruct 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, Llama-3.2-11B-Vision-Instruct or Muse Glimmer 30B?
Llama-3.2-11B-Vision-Instruct is cheaper at $0.197 input / $0.51 output per million tokens (median across 2 API providers). 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 $0.275 per million tokens for Llama-3.2-11B-Vision-Instruct versus $0.525 for Solar Pro 4 (1.9× as much) and $0.525 for Muse Glimmer 30B (1.9× 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, Llama-3.2-11B-Vision-Instruct 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, Llama-3.2-11B-Vision-Instruct 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 131,072 for Muse Glimmer 30B and 128,000 for Llama-3.2-11B-Vision-Instruct. Maximum output per response: Solar Pro 4 up to 131,072, Llama-3.2-11B-Vision-Instruct 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; Llama-3.2-11B-Vision-Instruct accepts text and images; Muse Glimmer 30B accepts text and images. Llama-3.2-11B-Vision-Instruct handles the widest range of inputs.
Are any of these open source?
Llama-3.2-11B-Vision-Instruct 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; Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Solar Pro 4 Feb 2026, Llama-3.2-11B-Vision-Instruct Dec 2023, 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.
