Model comparison
Gemini 3.8 Flash vs Jamba Large
Gemini 3.8 Flash has enough public results to be ranked (#11); Jamba Large does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 18.0.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $8 for Jamba Large.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 256K.
- Jamba Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.8 Flash | Jamba Large | |
|---|---|---|
| Provider | AI21 Labs | |
| Noometry Index | 61.8 | 33.1 |
| Released | 2026-09-02 | 2025-07-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 256K |
| Max output | 66K | 4K |
| Input $ / M tokens | $0.75 | $2 |
| Output $ / M tokens | $3.75 | $8 |
| Results tracked | 50 | 2 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Gemini 3.8 Flash: 59.2 (#15), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | 84.8% | — |
| LMArena Coding | 1510 | — |
| ALE-Bench | 1,270 | — |
Agentic & Tool Use Not comparable
Gemini 3.8 Flash: 41.8 (#21), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |
Reasoning Gemini 3.8 Flash leads
Gemini 3.8 Flash: 76.9 (#5), Jamba Large: 18.0
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| ARC-AGI-2 | 89.2% | — |
| Kagi LLM Benchmark | — | 26.1% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| LMArena Hard Prompts | 1508 | — |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| Epoch Capabilities Index | 156.71 | — |
Math Not comparable
Gemini 3.8 Flash: 65.3 (#28), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 48% | — |
| LMArena Math | 1528 | — |
Knowledge Gemini 3.8 Flash leads
Gemini 3.8 Flash: 74.8 (#2), Jamba Large: 37.7
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| GPQA Diamond | 95.4% | — |
| Humanity's Last Exam | 44.5% | — |
| SimpleQA Verified | 69.7% | — |
| Vectara Hallucination Rate | — | 9.7% |
| LMArena Expert | 1524 | — |
Multimodal Not comparable
Gemini 3.8 Flash: 40.7 (#45), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| LMArena Vision | 1314 | — |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
Multilingual Not comparable
Gemini 3.8 Flash: 58.0 (#5), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| LMArena Non-English | 1491 | — |
| LMArena Chinese | 1554 | — |
| LMArena French | 1498 | — |
| LMArena German | 1493 | — |
| LMArena Japanese | 1502 | — |
| LMArena Korean | 1459 | — |
| LMArena Russian | 1515 | — |
| LMArena Spanish | 1485 | — |
Instruction Following Not comparable
Gemini 3.8 Flash: 78.0 (#13), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| LMArena Instruction Following | 1490 | — |
Long Context Not comparable
Gemini 3.8 Flash: 46.3 (#24), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| LMArena Longer Query | 1508 | — |
Writing & Preference Not comparable
Gemini 3.8 Flash: 72.2 (#15), Jamba Large: —
| Benchmark | Gemini 3.8 Flash | Jamba Large |
|---|---|---|
| LMArena Text | 1499 | — |
| LMArena Creative Writing | 1492 | — |
| EQ-Bench Creative Writing | 1748 | — |
| LMArena Multi-Turn | 1501 | — |
Frequently asked questions
Is Gemini 3.8 Flash better than Jamba Large?
Gemini 3.8 Flash has enough public results to be ranked (#11); Jamba Large does not yet, so treat this comparison as directional.
Which is cheaper, Gemini 3.8 Flash or Jamba Large?
Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; Jamba Large lists at $2 and $8.
Which has the bigger context window?
Gemini 3.8 Flash does, with 1.05M tokens against 256K.
How many benchmarks do Gemini 3.8 Flash and Jamba Large share?
0 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Jamba Large has 2.