Model comparison
Gemini 3.5 Flash vs Jamba Large
Gemini 3.5 Flash has enough public results to be ranked (#32); 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 3.5 Flash leads 62.8 to 18.0.
- Both cost about the same: $1.50 input and $9 output per million tokens.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 256K.
- Jamba Large has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.5 Flash | Jamba Large | |
|---|---|---|
| Provider | AI21 Labs | |
| Noometry Index | 54.2 | 33.1 |
| Released | 2026-05-19 | 2025-07-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 256K |
| Max output | 66K | 4K |
| Input $ / M tokens | $1.50 | $2 |
| Output $ / M tokens | $9 | $8 |
| Results tracked | 54 | 2 |
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Category by category
Coding Not comparable
Gemini 3.5 Flash: 49.4 (#49), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| LMArena WebDev | 1499 | — |
| SciCode | 53.1% | — |
| WeirdML | 62.6% | — |
| LMArena Coding | 1492 | — |
| ALE-Bench | 911.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.5 Flash: 24.7 (#114), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| APEX-Agents | 27.5% | — |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |
Reasoning Gemini 3.5 Flash leads
Gemini 3.5 Flash: 62.8 (#18), Jamba Large: 18.0
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 26.1% |
| NYT Connections (extended) | 92.6% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 13.1% | — |
| Chess Puzzles | 50% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| LMArena Hard Prompts | 1488 | — |
| Mystery Game Puzzles | 32% | — |
| DTBench | 94.7% | — |
| LMCA | 47.1% | — |
| Surface Evolver Bench | 58.1% | — |
| Epoch Capabilities Index | 154.46 | — |
| ForecastBench | 59 | — |
Math Not comparable
Gemini 3.5 Flash: 60.7 (#36), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 62.8% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 31% | — |
| LMArena Math | 1504 | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Gemini 3.5 Flash leads
Gemini 3.5 Flash: 66.3 (#11), Jamba Large: 37.7
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| GPQA Diamond | 92.8% | — |
| SimpleQA Verified | 66.2% | — |
| Vectara Hallucination Rate | — | 9.7% |
| LMArena Expert | 1495 | — |
Multimodal Not comparable
Gemini 3.5 Flash: 45.7 (#15), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| LMArena Vision | 1310 | — |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |
Multilingual Not comparable
Gemini 3.5 Flash: 57.0 (#13), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| LMArena Non-English | 1476 | — |
| LMArena Chinese | 1526 | — |
| LMArena French | 1490 | — |
| LMArena German | 1492 | — |
| LMArena Japanese | 1486 | — |
| LMArena Korean | 1451 | — |
| LMArena Russian | 1493 | — |
| LMArena Spanish | 1480 | — |
Instruction Following Not comparable
Gemini 3.5 Flash: 77.0 (#30), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| LMArena Instruction Following | 1467 | — |
Long Context Not comparable
Gemini 3.5 Flash: 45.4 (#38), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference Not comparable
Gemini 3.5 Flash: 65.5 (#47), Jamba Large: —
| Benchmark | Gemini 3.5 Flash | Jamba Large |
|---|---|---|
| LMArena Text | 1482 | — |
| LMArena Creative Writing | 1470 | — |
| EQ-Bench 4 | 1087 | — |
| LMArena Multi-Turn | 1481 | — |
Frequently asked questions
Is Gemini 3.5 Flash better than Jamba Large?
Gemini 3.5 Flash has enough public results to be ranked (#32); Jamba Large does not yet, so treat this comparison as directional.
Which is cheaper, Gemini 3.5 Flash or Jamba Large?
Gemini 3.5 Flash is cheaper. It lists at $1.50 per million input tokens and $9 per million output tokens; Jamba Large lists at $2 and $8.
Which has the bigger context window?
Gemini 3.5 Flash does, with 1.05M tokens against 256K.
How many benchmarks do Gemini 3.5 Flash and Jamba Large share?
0 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and Jamba Large has 2.