Solar Pro 2 vs Jamba Mini
Jamba Mini comes out ahead, 57 to 52 on our weighted score.
Upstage
Solar Pro 2
52/100- ECI—
- Price$0.25 / $0.25
- Context66K
- Our pick
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
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Make it a three-way comparison.
Jamba Mini is our pick
Jamba Mini is the better all-round choice, scoring 57/100 against Solar Pro 2 (52). It leads on 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 priceSame priceSolar Pro 2 $0.25 · Jamba Mini $0.25 per 1M tokens (3:1 blend)
- Longest contextJamba MiniJamba Mini 256,000 · Solar Pro 2 65,536 tokens
- Widest inputsSame inputsSolar Pro 2: Text · Jamba Mini: Text
- Self-hostingJamba MiniPublishes downloadable weights
| Measure | Weight | Solar Pro 2 | Jamba Mini |
|---|---|---|---|
| Price | 50% | 78 | 78 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 12 | 36 |
| Overall | 100% | 52/100 | 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 2Upstage | Jamba MiniAI21 Labs |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.25 | $0.20 (best) |
| Output | $0.25 (best) | $0.40 |
| Cached input | — | — |
| Blended (3:1) | $0.25 | $0.25 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Upstage API | Official AI21 Labs API |
| Limits | ||
| Context window | 65,536 tokens | 256,000 tokens (best) |
| Max output | 8,192 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yesminimal · high | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | solar-pro2 | jamba-mini |
| API providers | 2 (best) | 1 |
| Released | May 20, 2025 | Jan 1, 2026 |
| Knowledge cutoff | Mar 2025 | Aug 22, 2024 |
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 2$3.00
- Jamba Mini$2.80
Which should you choose?
Which is better: Solar Pro 2 or Jamba Mini?
Jamba Mini is the better all-round choice, scoring 57/100 against Solar Pro 2 (52). It leads on 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 2 or Jamba Mini?
Solar Pro 2 and Jamba Mini cost the same: $0.25 input / $0.25 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Solar Pro 2 has not been scored yet and Jamba Mini has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Solar Pro 2 and Jamba Mini 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?
Jamba Mini has the largest context window at 256,000 tokens, against 65,536 for Solar Pro 2. Maximum output per response: Solar Pro 2 up to 8,192, Jamba Mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 2 accepts text; Jamba Mini accepts text. They handle the same number of input types.
Are any of these open source?
Jamba Mini publishes its weights and can be self-hosted; Solar Pro 2 is proprietary.
Which is newer?
Jamba Mini is the newest, released Jan 1, 2026. Solar Pro 2 came out May 20, 2025. Knowledge cutoff: Solar Pro 2 Mar 2025, Jamba Mini Aug 22, 2024.
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.
