Solar Pro 4 vs Gemini 3.8 Flash vs Muse Glimmer 30B
Gemini 3.8 Flash comes out ahead, 63 to 57 and 55 on our weighted score, though Solar Pro 4 is 2.9× cheaper per token.
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
- Our pick
GoogleGemini 3.8 Flash
63/100- ECI156.9
- Price$0.75 / $3.75
- Context1.05M
MetaMuse Glimmer 30B
57/100- ECI—
- Price$0.30 / $1.20
- Context131K
Gemini 3.8 Flash is our pick
Gemini 3.8 Flash is the better all-round choice, scoring 63/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on inputs & features and 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 priceSolar Pro 4 and Muse Glimmer 30BSolar Pro 4 $0.525 · Muse Glimmer 30B $0.525 · Gemini 3.8 Flash $1.50 per 1M tokens (3:1 blend)
- Longest contextGemini 3.8 FlashGemini 3.8 Flash 1,048,576 · Solar Pro 4 524,288 · Muse Glimmer 30B 131,072 tokens
- Widest inputsGemini 3.8 FlashSolar Pro 4: Text · Gemini 3.8 Flash: Text, Images, PDFs, Audio, Video · Muse Glimmer 30B: Text, Images
- Self-hostingMuse Glimmer 30BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Solar Pro 4 | Gemini 3.8 Flash | Muse Glimmer 30B |
|---|---|---|---|---|
| Price | 50% | 63 | 42 | 63 |
| Inputs & features | 30% | 45 | 100 | 70 |
| Context window | 20% | 49 | 61 | 24 |
| Overall | 100% | 55/100 | 63/100 | 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 | Gemini 3.8 FlashGoogle | Muse Glimmer 30BMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 156.9 | — |
| ECI rank | — | #15 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 95.4% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 68.4% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 98.9% | — |
| SimpleQA VerifiedShort factual questions | — | 69.7% | — |
| Price per million tokens | |||
| Input | $0.30 (best) | $0.75 | $0.30 (best) |
| Output | $1.20 (best) | $3.75 | $1.20 (best) |
| Cached input | $0.06 (best) | $0.075 | — |
| Blended (3:1) | $0.525 (best) | $1.50 | $0.525 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Upstage API | Official Google API | Median of 10 providers |
| Limits | |||
| Context window | 524,288 tokens | 1,048,576 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens (best) | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yesminimal · low · medium · high · xhigh · max | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | OpenApache 2.0 |
| API model ID | solar-pro4 | gemini-3.8-flash | — |
| API providers | 3 | 21 (best) | 12 |
| Released | Aug 6, 2026 | Sep 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
- Gemini 3.8 Flash$15.00
- Muse Glimmer 30B$5.40
Which should you choose?
Which is better: Solar Pro 4, Gemini 3.8 Flash or Muse Glimmer 30B?
Gemini 3.8 Flash is the better all-round choice, scoring 63/100 against Muse Glimmer 30B (57) and Solar Pro 4 (55). It leads on inputs & features and 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, Solar Pro 4, Gemini 3.8 Flash or Muse Glimmer 30B?
Solar Pro 4 is cheaper at $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); Gemini 3.8 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Solar Pro 4 versus $0.525 for Muse Glimmer 30B (1× as much) and $1.50 for Gemini 3.8 Flash (2.9× 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, Gemini 3.8 Flash has an ECI of 156.9 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, Gemini 3.8 Flash 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?
Gemini 3.8 Flash has the largest context window at 1,048,576 tokens, against 524,288 for Solar Pro 4 and 131,072 for Muse Glimmer 30B. Maximum output per response: Solar Pro 4 up to 131,072, Gemini 3.8 Flash up to 65,536, Muse Glimmer 30B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 4 accepts text; Gemini 3.8 Flash accepts text, images, PDFs, audio and video; Muse Glimmer 30B accepts text and images. Gemini 3.8 Flash handles the widest range of inputs.
Are any of these open source?
Muse Glimmer 30B publishes its weights (Apache 2.0) and can be self-hosted; Solar Pro 4 and Gemini 3.8 Flash is proprietary.
Which is newer?
Gemini 3.8 Flash is the newest, released Sep 2, 2026. Muse Glimmer 30B came out Aug 10, 2026; Solar Pro 4 came out Aug 6, 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.
