Qwen3 235B-A22B Thinking 2507 vs Qwen3.5 Flash
Qwen3.5 Flash comes out ahead, 73 to 55 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)
Qwen3 235B-A22B Thinking 2507
55/100- ECI143.8
- Price$0.30 / $2.90
- Context262K
- Our pick
Alibaba (Qwen)
Qwen3.5 Flash
73/100- ECI143.6
- Price$0.10 / $0.40
- Context1M
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Qwen3.5 Flash is our pick
Qwen3.5 Flash is the better all-round choice, scoring 73/100 against Qwen3 235B-A22B Thinking 2507 (55). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 235B-A22B Thinking 2507Capabilities Index (ECI): Qwen3 235B-A22B Thinking 2507 143.8 · Qwen3.5 Flash 143.6
- Lowest priceQwen3.5 FlashQwen3.5 Flash $0.175 · Qwen3 235B-A22B Thinking 2507 $0.95 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 FlashQwen3.5 Flash 1,000,000 · Qwen3 235B-A22B Thinking 2507 262,144 tokens
- Widest inputsQwen3.5 FlashQwen3 235B-A22B Thinking 2507: Text · Qwen3.5 Flash: Text, Images, Video
- Self-hostingQwen3 235B-A22B Thinking 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Qwen3 235B-A22B Thinking 2507 | Qwen3.5 Flash |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 69 |
| Price | 25% | 49 | 82 |
| Inputs & features | 15% | 35 | 80 |
| Context window | 10% | 37 | 60 |
| Overall | 100% | 55/100 | 73/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 143.8 (best) | 143.6 |
| ECI rank | #93 of 165 (best) | #95 of 165 |
| GPQA DiamondGraduate-level science questions | 80.1% | 82.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 18.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 86.7% (best) | 84.4% |
| SimpleQA VerifiedShort factual questions | 40.4% (best) | 20.3% |
| Price per million tokens | ||
| Input | $0.30 | $0.10 (best) |
| Output | $2.90 | $0.40 (best) |
| Cached input | — | $0.01 |
| Blended (3:1) | $0.95 | $0.175 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 11 providers | Official Alibaba API |
| Limits | ||
| Context window | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | 81,920 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenApache 2.0 | Proprietary |
| API model ID | — | qwen3.5-flash |
| API providers | 12 (best) | 9 |
| Released | Jul 25, 2025 | Feb 23, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Qwen3 235B-A22B Thinking 2507$8.80
Qwen3.5 Flash$1.80
Which should you choose?
Which is better: Qwen3 235B-A22B Thinking 2507 or Qwen3.5 Flash?
Qwen3.5 Flash is the better all-round choice, scoring 73/100 against Qwen3 235B-A22B Thinking 2507 (55). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 235B-A22B Thinking 2507 or Qwen3.5 Flash?
Qwen3.5 Flash is cheaper at $0.10 input / $0.40 output per million tokens (official Alibaba API price). Qwen3 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Qwen3.5 Flash versus $0.95 for Qwen3 235B-A22B Thinking 2507 (5.4× as much).
Which scores higher on benchmarks?
Qwen3 235B-A22B Thinking 2507 scores higher on the Capabilities Index (ECI): Qwen3 235B-A22B Thinking 2507 143.8 (#93 of 165) and Qwen3.5 Flash 143.6 (#95 of 165). The confidence ranges of the top two overlap (141.9–145.2 vs 141.4–145.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.5 Flash 82.3%, Qwen3 235B-A22B Thinking 2507 80.1%; OTIS Mock AIME 2024–2025 — Qwen3 235B-A22B Thinking 2507 86.7%, Qwen3.5 Flash 84.4%; SimpleQA Verified — Qwen3 235B-A22B Thinking 2507 40.4%, Qwen3.5 Flash 20.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 235B-A22B Thinking 2507 and Qwen3.5 Flash yet, so there is no like-for-like coding score. On overall capability, Qwen3 235B-A22B Thinking 2507 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.5 Flash has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3 235B-A22B Thinking 2507. Maximum output per response: Qwen3 235B-A22B Thinking 2507 up to 81,920, Qwen3.5 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Qwen3 235B-A22B Thinking 2507 accepts text; Qwen3.5 Flash accepts text, images and video. Qwen3.5 Flash handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B Thinking 2507 publishes its weights (Apache 2.0) and can be self-hosted; Qwen3.5 Flash is proprietary.
Which is newer?
Qwen3.5 Flash is the newest, released Feb 23, 2026. Qwen3 235B-A22B Thinking 2507 came out Jul 25, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.