Model comparison
Jamba Large vs MiMo-V2.6-Pro
MiMo-V2.6-Pro has enough public results to be ranked (#49); Jamba Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 18.0.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $8 for Jamba Large.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 256K.
Side by side
| Jamba Large | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | AI21 Labs | Xiaomi |
| Noometry Index | 33.1 | 50.3 |
| Released | 2025-07-01 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 256K | 1.05M |
| Max output | 4K | 131K |
| Input $ / M tokens | $2 | $0.43 |
| Output $ / M tokens | $8 | $0.87 |
| Results tracked | 2 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| LMArena Coding | — | 1534 |
| ALE-Bench | — | 1,158 |
Agentic & Tool Use Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning MiMo-V2.6-Pro leads
Jamba Large: 18.0, MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| Kagi LLM Benchmark | 26.1% | — |
| CritPt | — | 26.6% |
| LMArena Hard Prompts | — | 1512 |
Math Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | — | 70% |
| LMArena Math | — | 1494 |
Knowledge MiMo-V2.6-Pro leads
Jamba Large: 37.7, MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| Vectara Hallucination Rate | 9.7% | — |
| LMArena Expert | — | 1543 |
Multimodal Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1529 |
| LMArena Russian | — | 1480 |
Instruction Following Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1493 |
Long Context Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | — | 1501 |
Writing & Preference Not comparable
Jamba Large: —, MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Jamba Large | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | — | 1492 |
| LMArena Creative Writing | — | 1468 |
| LMArena Multi-Turn | — | 1464 |
Frequently asked questions
Is Jamba Large better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro has enough public results to be ranked (#49); Jamba Large does not yet, so treat this comparison as directional.
Which is cheaper, Jamba Large or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Jamba Large lists at $2 and $8.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 256K.
How many benchmarks do Jamba Large and MiMo-V2.6-Pro share?
0 benchmarks have published results for both models. Jamba Large has 2 scored results on Noometry and MiMo-V2.6-Pro has 19.