Model comparison
Qwen3 (2507 update) vs Qwen3
- Input
- $0.09
- Output
- $0.10
- Context
- 262K (extendable to 1M)
- Released
- 2025-07
- Input
- $0.455 / 1M tokens
- Output
- $1.82 / 1M tokens
- Context
- 32K (131K with YaRN)
- Released
- 2025-04-28
Qwen3 (2507 update) scores higher on 1 of the 1 benchmarks both models report; Qwen3 (2507 update) is cheaper on input tokens ($0.1 vs $0.5 per 1M, 5.1×); Qwen3 (2507 update) has the larger context window (262K vs 32K).
Specs and pricing side by side
| Spec | Qwen3 (2507 update) | Qwen3 |
|---|---|---|
| Maker | Alibaba (Qwen) | Alibaba (Qwen)same |
| Released | 2025-07 | 2025-04-28 |
| Context window | 262K (extendable to 1M) | 32K (131K with YaRN) |
| Max output | 81,920 tokens (Thinking) | 32,768 tokens (38,912 for hard reasoning) |
| Input price | $0.09 | $0.455 / 1M tokens |
| Output price | $0.10 | $1.82 / 1M tokens |
| Parameters | 235B total · 22B active (also 30B-A3B) | 235B total / 22B active (MoE flagship); dense 0.6B-32B and 30B-A3B MoE also released |
| License | Apache-2.0 | Apache 2.0 |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | Qwen3 (2507 update) | Qwen3 |
|---|---|---|
| MMLU-Pro | 84.4% | 68.18% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Qwen3 (2507 update) if…
- You care about MMLU-Pro (it scores higher on 1 shared benchmark).
- Cost matters: input tokens cost 5.1× less ($0.1 vs $0.5 per 1M).
- You need the longer context (262K vs 32K).
- Your use case is: self-hosted assistants and agents where an open Apache 2.0 license and on-prem control matter.
Pick Qwen3 if…
- Your use case is: self-hosted or private-cloud assistants where open weights and Apache 2.0 licensing are required.
FAQ
Which is better, Qwen3 (2507 update) or Qwen3?
Qwen3 (2507 update) scores higher on 1 of the 1 benchmarks both models report; Qwen3 (2507 update) is cheaper on input tokens ($0.1 vs $0.5 per 1M, 5.1×); Qwen3 (2507 update) has the larger context window (262K vs 32K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Qwen3 (2507 update)?
Qwen3 (2507 update): $0.09 input, $0.10 output. Qwen3: $0.455 / 1M tokens input, $1.82 / 1M tokens output (list API prices as published by each maker).
What are the context windows of Qwen3 (2507 update) and Qwen3?
Qwen3 (2507 update) offers 262K (extendable to 1M) with up to 81,920 tokens (Thinking) output; Qwen3 offers 32K (131K with YaRN) with up to 32,768 tokens (38,912 for hard reasoning) output.
Is Qwen3 (2507 update) newer than Qwen3?
Qwen3 (2507 update) was released 2025-07; Qwen3 was released 2025-04-28.