Compare / head-to-head
Jamba Large 1.7vs
Qwen3 30B-A3B Thinking 2507
Qwen3 30B-A3B Thinking 2507 leads 1 of 1 shared benchmark. Qwen3 30B-A3B Thinking 2507 is 3.8x cheaper per token. Qwen3 30B-A3B Thinking 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 Thinking 2507 leads
Cheaper per token
Qwen3 30B-A3B Thinking 2507
3.8x cheaper, input + output
Larger context
Qwen3 30B-A3B Thinking 2507
262K tokens
Providers
2 providers
AI21 Labs · Qwen
Jamba Large 1.7
AI21 Labs · released 2025-07-03
text
Qwen3 30B-A3B Thinking 2507
Qwen · released 2025-07-31
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Quality
Benchmark matrix
1 shared · 1 only Jamba Large 1.7 · 17 only Qwen3 30B-A3B Thinking 2507| Benchmark | Jamba Large 1.7 | Qwen3 30B-A3B Thinking 2507 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| IFEval | 84% ↗ | 88.9% ↗ | -4.9 pt | Qwen3 30B-A3B Thinking 2507 |
| Only Jamba Large 1.7 reports · 1 | ||||
| FACTS | 83.2% ↗ | not reported | — | — |
| Only Qwen3 30B-A3B Thinking 2507 reports · 17 | ||||
| GPQA Diamond | not reported | 70.1% ↗epoch run | — | — |
| MMLU-Pro | not reported | 80.9% ↗ | — | — |
| AIME25 | not reported | 85% ↗ | — | — |
| Arena-Hard v2 | not reported | 56% ↗ | — | — |
| BFCL-v3 | not reported | 72.4% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 8% ↗epoch run | — | — |
| GPQA | not reported | 73.4% ↗ | — | — |
| HMMT25 | not reported | 71.4% ↗ | — | — |
| LiveBench 20241125 | not reported | 76.8% ↗ | — | — |
| LiveCodeBench v6 (25.02-25.05) | not reported | 66% ↗ | — | — |
| MMLU-Redux | not reported | 91.4% ↗ | — | — |
| OJBench | not reported | 25.1% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 70.3% ↗epoch run | — | — |
| SuperGPQA | not reported | 56.8% ↗ | — | — |
| TAU2-Airline | not reported | 58% ↗ | — | — |
| TAU2-Retail | not reported | 58.8% ↗ | — | — |
| TAU2-Telecom | not reported | 26.3% ↗ | — | — |
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 Thinking 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 Thinking 2507 | Edge |
|---|---|---|---|
| Context window | 256K tokens | 262K tokens | Qwen3 30B-A3B Thinking 2507 |
| Max output | 4K tokens | — | — |
| Input price / 1M | $2 ↗ | $0.2 ↗ | Qwen3 30B-A3B Thinking 2507 |
| Output price / 1M | $8 ↗ | $2.4 ↗ | Qwen3 30B-A3B Thinking 2507 |
| Cached input / 1M | — | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $10 | $2.6 | Qwen3 30B-A3B Thinking 2507 |
| Modalities | text | text | Tie |
| Released | 2025-07-03 | 2025-07-31 | — |
| Cited benchmark scores | 2 | 18 | — |
Reliability
Provider status
Live from /statusMore matchups
Jamba Large 1.7 vs …
Models sharing the most benchmarksMore matchups
Qwen3 30B-A3B Thinking 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 Thinking 2507 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.