Compare / head-to-head
Jamba Large 1.7vs
Qwen3 30B-A3B Instruct 2507
Qwen3 30B-A3B Instruct 2507 leads 1 of 1 shared benchmark. Qwen3 30B-A3B Instruct 2507 is 10x cheaper per token. Qwen3 30B-A3B Instruct 2507 has the larger context window (262K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 1
Qwen3 30B-A3B Instruct 2507 leads
Cheaper per token
Qwen3 30B-A3B Instruct 2507
10x cheaper, input + output
Larger context
Qwen3 30B-A3B Instruct 2507
262K tokens
Providers
2 providers
AI21 Labs · Qwen
Jamba Large 1.7
AI21 Labs · released 2025-07-03
text
Qwen3 30B-A3B Instruct 2507
Qwen · released 2025-07-30
text
Quality
Benchmark matrix
1 shared · 1 only Jamba Large 1.7 · 18 only Qwen3 30B-A3B Instruct 2507| Benchmark | Jamba Large 1.7 | Qwen3 30B-A3B Instruct 2507 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| IFEval | 84% ↗ | 84.7% ↗ | -0.7 pt | Qwen3 30B-A3B Instruct 2507 |
| Only Jamba Large 1.7 reports · 1 | ||||
| FACTS | 83.2% ↗ | not reported | — | — |
| Only Qwen3 30B-A3B Instruct 2507 reports · 18 | ||||
| GPQA Diamond | not reported | 55.6% ↗epoch run | — | — |
| MMLU-Pro | not reported | 78.4% ↗ | — | — |
| LMArena Elo | not reported | 1382.7 ↗ | — | — |
| Aider-Polyglot | not reported | 35.6% ↗ | — | — |
| AIME25 | not reported | 61.3% ↗ | — | — |
| Arena-Hard v2 | not reported | 69% ↗ | — | — |
| BFCL-v3 | not reported | 65.1% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 2% ↗epoch run | — | — |
| GPQA | not reported | 70.4% ↗ | — | — |
| HMMT25 | not reported | 43% ↗ | — | — |
| LiveBench 20241125 | not reported | 69% ↗ | — | — |
| LiveCodeBench v6 (25.02-25.05) | not reported | 43.2% ↗ | — | — |
| MMLU-Redux | not reported | 89.3% ↗ | — | — |
| MultiPL-E | not reported | 83.8% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 62.2% ↗epoch run | — | — |
| SuperGPQA | not reported | 53.4% ↗ | — | — |
| TAU2-Retail | not reported | 57% ↗ | — | — |
| ZebraLogic | not reported | 90% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Jamba Large 1.7 minus Qwen3 30B-A3B Instruct 2507 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Jamba Large 1.7 | Qwen3 30B-A3B Instruct 2507 | Edge |
|---|---|---|---|
| Context window | 256K tokens | 262K tokens | Qwen3 30B-A3B Instruct 2507 |
| Max output | 4K tokens | — | — |
| Input price / 1M | $2 ↗ | $0.2 ↗ | Qwen3 30B-A3B Instruct 2507 |
| Output price / 1M | $8 ↗ | $0.8 ↗ | Qwen3 30B-A3B Instruct 2507 |
| Cached input / 1M | — | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $10 | $1 | Qwen3 30B-A3B Instruct 2507 |
| Modalities | text | text | Tie |
| Released | 2025-07-03 | 2025-07-30 | — |
| Cited benchmark scores | 2 | 19 | — |
Reliability
Provider status
Live from /statusMore matchups
Jamba Large 1.7 vs …
Models sharing the most benchmarksMore matchups
Qwen3 30B-A3B Instruct 2507 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Jamba Large 1.7 and Qwen3 30B-A3B Instruct 2507 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.