Solar Pro 3 vs Llama-3.2-11B-Vision-Instruct vs Jamba Mini
Too close to call on our weighted score (Llama-3.2-11B-Vision-Instruct 58, Jamba Mini 57, Solar Pro 3 55). The right pick depends on what you value most.
Upstage
Solar Pro 3
55/100- ECI—
- Price$0.25 / $0.25
- Context131K
MetaLlama-3.2-11B-Vision-Instruct
58/100- ECI—
- Price$0.197 / $0.51
- Context128K
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
Too close to call
It is close. Our weighted score puts them within 1 points (Llama-3.2-11B-Vision-Instruct 58/100, Jamba Mini 57/100, Solar Pro 3 55/100), so choose by what matters most for your work: Solar Pro 3 on price and Jamba Mini 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 priceSolar Pro 3 and Jamba MiniSolar Pro 3 $0.25 · Jamba Mini $0.25 · Llama-3.2-11B-Vision-Instruct $0.275 per 1M tokens (3:1 blend)
- Longest contextJamba MiniJamba Mini 256,000 · Solar Pro 3 131,072 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
- Widest inputsLlama-3.2-11B-Vision-InstructSolar Pro 3: Text · Llama-3.2-11B-Vision-Instruct: Text, Images · Jamba Mini: Text
- Self-hostingLlama-3.2-11B-Vision-Instruct and Jamba MiniPublishes downloadable weights
| Measure | Weight | Solar Pro 3 | Llama-3.2-11B-Vision-Instruct | Jamba Mini |
|---|---|---|---|---|
| Price | 50% | 78 | 76 | 78 |
| Inputs & features | 30% | 35 | 50 | 35 |
| Context window | 20% | 24 | 24 | 36 |
| 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 3Upstage | Llama-3.2-11B-Vision-InstructMeta | Jamba MiniAI21 Labs |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.25 | $0.197 (best) | $0.20 |
| Output | $0.25 (best) | $0.51 | $0.40 |
| Cached input | — | — | — |
| Blended (3:1) | $0.25 (best) | $0.275 | $0.25 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Upstage API | Median of 2 providers | Official AI21 Labs API |
| Limits | |||
| Context window | 131,072 tokens | 128,000 tokens | 256,000 tokens (best) |
| Max output | 8,192 tokens (best) | 4,096 tokens | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | solar-pro3 | — | jamba-mini |
| API providers | 2 (best) | 2 (best) | 1 |
| Released | Jan 2026 | Sep 25, 2024 | Jan 1, 2026 |
| Knowledge cutoff | Mar 2025 | Dec 2023 | 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 3$3.00
- Llama-3.2-11B-Vision-Instruct$2.99
- Jamba Mini$2.80
Which should you choose?
Which is better: Solar Pro 3, Llama-3.2-11B-Vision-Instruct or Jamba Mini?
It is close. Our weighted score puts them within 1 points (Llama-3.2-11B-Vision-Instruct 58/100, Jamba Mini 57/100, Solar Pro 3 55/100), so choose by what matters most for your work: Solar Pro 3 on price and Jamba Mini 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 3, Llama-3.2-11B-Vision-Instruct or Jamba Mini?
Solar Pro 3 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). Jamba Mini costs $0.20 input / $0.40 output per million tokens (official AI21 Labs API price); Llama-3.2-11B-Vision-Instruct costs $0.197 input / $0.51 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 3 versus $0.25 for Jamba Mini (1× as much) and $0.275 for Llama-3.2-11B-Vision-Instruct (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Solar Pro 3 has not been scored yet, Llama-3.2-11B-Vision-Instruct 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 3, Llama-3.2-11B-Vision-Instruct and Jamba Mini 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?
Jamba Mini has the largest context window at 256,000 tokens, against 131,072 for Solar Pro 3 and 128,000 for Llama-3.2-11B-Vision-Instruct. Maximum output per response: Solar Pro 3 up to 8,192, Llama-3.2-11B-Vision-Instruct up to 4,096, Jamba Mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 3 accepts text; Llama-3.2-11B-Vision-Instruct accepts text and images; Jamba Mini accepts text. 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 Jamba Mini publishes its weights and can be self-hosted; Solar Pro 3 is proprietary.
Which is newer?
Solar Pro 3 is the newest, released Jan 2026. Jamba Mini came out Jan 1, 2026; Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Solar Pro 3 Mar 2025, Llama-3.2-11B-Vision-Instruct Dec 2023, 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.
