Jamba Mini vs Llama-3.2-11B-Vision-Instruct vs Solar Pro 3
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.
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
MetaLlama-3.2-11B-Vision-Instruct
58/100- ECI—
- Price$0.197 / $0.51
- Context128K
Upstage
Solar Pro 3
55/100- ECI—
- Price$0.25 / $0.25
- Context131K
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: Jamba Mini 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 priceJamba Mini and Solar Pro 3Jamba Mini $0.25 · Solar Pro 3 $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-InstructJamba Mini: Text · Llama-3.2-11B-Vision-Instruct: Text, Images · Solar Pro 3: Text
- Self-hostingJamba Mini and Llama-3.2-11B-Vision-InstructPublishes downloadable weights
| Measure | Weight | Jamba Mini | Llama-3.2-11B-Vision-Instruct | Solar Pro 3 |
|---|---|---|---|---|
| Price | 50% | 78 | 76 | 78 |
| Inputs & features | 30% | 35 | 50 | 35 |
| Context window | 20% | 36 | 24 | 24 |
| Overall | 100% | 57/100 | 58/100 | 55/100 |
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 | Llama-3.2-11B-Vision-InstructMeta | Solar Pro 3Upstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.197 (best) | $0.25 |
| Output | $0.40 | $0.51 | $0.25 (best) |
| 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 AI21 Labs API | Median of 2 providers | Official Upstage API |
| Limits | |||
| Context window | 256,000 tokens (best) | 128,000 tokens | 131,072 tokens |
| Max output | 4,096 tokens | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | jamba-mini | — | solar-pro3 |
| API providers | 1 | 2 (best) | 2 (best) |
| Released | Jan 1, 2026 | Sep 25, 2024 | Jan 2026 |
| Knowledge cutoff | Aug 22, 2024 | Dec 2023 | 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
- Llama-3.2-11B-Vision-Instruct$2.99
- Solar Pro 3$3.00
Which should you choose?
Which is better: Jamba Mini, Llama-3.2-11B-Vision-Instruct or Solar Pro 3?
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: Jamba Mini 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, Jamba Mini, Llama-3.2-11B-Vision-Instruct or Solar Pro 3?
Jamba Mini is cheaper at $0.20 input / $0.40 output per million tokens (official AI21 Labs API price). Solar Pro 3 costs $0.25 input / $0.25 output per million tokens (official Upstage 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 Jamba Mini versus $0.25 for Solar Pro 3 (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. Jamba Mini has not been scored yet, Llama-3.2-11B-Vision-Instruct has not been scored yet and Solar Pro 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Jamba Mini, Llama-3.2-11B-Vision-Instruct and Solar Pro 3 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: Jamba Mini up to 4,096, Llama-3.2-11B-Vision-Instruct up to 4,096, Solar Pro 3 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Jamba Mini accepts text; Llama-3.2-11B-Vision-Instruct accepts text and images; Solar Pro 3 accepts text. Llama-3.2-11B-Vision-Instruct handles the widest range of inputs.
Are any of these open source?
Jamba Mini and Llama-3.2-11B-Vision-Instruct publishes its weights and can be self-hosted; Solar Pro 3 is proprietary.
Which is newer?
Jamba Mini is the newest, released Jan 1, 2026. Solar Pro 3 came out Jan 2026; Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Jamba Mini Aug 22, 2024, Llama-3.2-11B-Vision-Instruct Dec 2023, Solar Pro 3 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.
