Trinity Large Thinking vs Solar Mini 4
Solar Mini 4 comes out ahead, 64 to 53 on our weighted score, and it is the cheaper option too.
Arcee AI
Trinity Large Thinking
53/100- ECI—
- Price$0.25 / $0.80
- Context524K
- Our pick
Upstage
Solar Mini 4
64/100- ECI—
- Price$0.10 / $0.40
- Context524K
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Make it a three-way comparison.
Solar Mini 4 is our pick
Solar Mini 4 is the better all-round choice, scoring 64/100 against Trinity Large Thinking (53). It leads on price and 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 priceSolar Mini 4Solar Mini 4 $0.175 · Trinity Large Thinking $0.388 per 1M tokens (3:1 blend)
- Longest contextAbout the sameTrinity Large Thinking 524,288 · Solar Mini 4 524,288 tokens
- Widest inputsSame inputsTrinity Large Thinking: Text · Solar Mini 4: Text
- Self-hostingTrinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
| Measure | Weight | Trinity Large Thinking | Solar Mini 4 |
|---|---|---|---|
| Price | 50% | 66 | 82 |
| Inputs & features | 30% | 35 | 45 |
| Context window | 20% | 49 | 49 |
| Overall | 100% | 53/100 | 64/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.25 | $0.10 (best) |
| Output | $0.80 | $0.40 (best) |
| Cached input | $0.06 | $0.01 (best) |
| Blended (3:1) | $0.388 | $0.175 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Arcee API | Official Upstage API |
| Limits | ||
| Context window | 524,288 tokens | 524,288 tokens |
| Max output | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenOpenMDW-1.1 | Proprietary |
| API model ID | trinity-large-thinking | solar-mini4 |
| API providers | 3 | 4 (best) |
| Released | Apr 1, 2026 | Sep 22, 2026 |
| Knowledge cutoff | — | 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.
Trinity Large Thinking$4.10
Solar Mini 4$1.80
Which should you choose?
Which is better: Trinity Large Thinking or Solar Mini 4?
Solar Mini 4 is the better all-round choice, scoring 64/100 against Trinity Large Thinking (53). It leads on price and 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, Trinity Large Thinking or Solar Mini 4?
Solar Mini 4 is cheaper at $0.10 input / $0.40 output per million tokens (official Upstage API price). Trinity Large Thinking costs $0.25 input / $0.80 output per million tokens (official Arcee API price). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Solar Mini 4 versus $0.388 for Trinity Large Thinking (2.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Trinity Large Thinking has not been scored yet and Solar Mini 4 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Trinity Large Thinking and Solar Mini 4 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Trinity Large Thinking and Solar Mini 4 share the same 524,288-token context window. Maximum output per response: Trinity Large Thinking up to 262,144, Solar Mini 4 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Trinity Large Thinking accepts text; Solar Mini 4 accepts text. They handle the same number of input types.
Are any of these open source?
Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; Solar Mini 4 is proprietary.
Which is newer?
Solar Mini 4 is the newest, released Sep 22, 2026. Trinity Large Thinking came out Apr 1, 2026. Knowledge cutoff: Solar Mini 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 Nov 2, 2026.