Jamba Mini vs Solar Pro 2
Jamba Mini comes out ahead, 57 to 52 on our weighted score.
- Our pick
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
Upstage
Solar Pro 2
52/100- ECI—
- Price$0.25 / $0.25
- Context66K
Add a model
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 priceJamba Mini $0.25 · Solar Pro 2 $0.25 per 1M tokens (3:1 blend)
- Longest contextJamba MiniJamba Mini 256,000 · Solar Pro 2 65,536 tokens
- Widest inputsSame inputsJamba Mini: Text · Solar Pro 2: Text
- Self-hostingJamba MiniPublishes downloadable weights
| Measure | Weight | Jamba Mini | Solar Pro 2 |
|---|---|---|---|
| Price | 50% | 78 | 78 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 36 | 12 |
| Overall | 100% | 57/100 | 52/100 |
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 | Jamba MiniAI21 Labs | Solar Pro 2Upstage |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.20 (best) | $0.25 |
| Output | $0.40 | $0.25 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.25 | $0.25 |
| Long-context rate | Same rate | Same rate |
| Price source | Official AI21 Labs API | Official Upstage API |
| Limits | ||
| Context window | 256,000 tokens (best) | 65,536 tokens |
| Max output | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yesminimal · high |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | jamba-mini | solar-pro2 |
| API providers | 1 | 2 (best) |
| Released | Jan 1, 2026 | May 20, 2025 |
| Knowledge cutoff | Aug 22, 2024 | Mar 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Jamba Mini$2.80
- Solar Pro 2$3.00
Which should you choose?
Which is better: Jamba Mini or Solar Pro 2?
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, Jamba Mini or Solar Pro 2?
Jamba Mini and Solar Pro 2 cost the same: $0.20 input / $0.40 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Jamba Mini has not been scored yet and Solar Pro 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Jamba Mini and Solar Pro 2 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: Jamba Mini up to 4,096, Solar Pro 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Jamba Mini accepts text; Solar Pro 2 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: Jamba Mini Aug 22, 2024, Solar Pro 2 Mar 2025.
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.
