DeepSeek V3 0324 vs Qwen3 30B A3B vs QwQ 32B
Qwen3 30B A3B comes out ahead, 57 to 53 and 52 on our weighted score, and it is the cheaper option too.
DeepSeekDeepSeek V3 0324
52/100- ECI135.9
- Price$0.275 / $1.12
- Context164K
- Our pick
Alibaba (Qwen)Qwen3 30B A3B
57/100- ECI136.2
- Price$0.108 / $0.475
- Context131K
- Alibaba (Qwen)
QwQ 32B
53/100- ECI137.5
- Price$0.53 / $0.70
- Context131K
Qwen3 30B A3B is our pick
Qwen3 30B A3B is the better all-round choice, scoring 57/100 against QwQ 32B (53) and DeepSeek V3 0324 (52). It leads on price. DeepSeek V3 0324 wins on context window. QwQ 32B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwQ 32BCapabilities Index (ECI): QwQ 32B 137.5 · Qwen3 30B A3B 136.2 · DeepSeek V3 0324 135.9
- Lowest priceQwen3 30B A3BQwen3 30B A3B $0.20 · DeepSeek V3 0324 $0.486 · QwQ 32B $0.573 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V3 0324DeepSeek V3 0324 163,840 · Qwen3 30B A3B 131,072 · QwQ 32B 131,072 tokens
- Widest inputsSame inputsDeepSeek V3 0324: Text · Qwen3 30B A3B: Text · QwQ 32B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | DeepSeek V3 0324 | Qwen3 30B A3B | QwQ 32B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 59 | 59 | 61 |
| Price | 25% | 62 | 80 | 59 |
| Inputs & features | 15% | 25 | 35 | 35 |
| Context window | 10% | 28 | 25 | 25 |
| Overall | 100% | 52/100 | 57/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V3 0324DeepSeek | Qwen3 30B A3BAlibaba (Qwen) | QwQ 32BAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 135.9 | 136.2 | 137.5 (best) |
| ECI rank | #128 of 165 | #126 of 165 | #123 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 67.6% (best) | 61.7% | 65.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | 37.8% | 62.8% (best) | 59.2% |
| Price per million tokens | |||
| Input | $0.275 | $0.108 (best) | $0.53 |
| Output | $1.12 | $0.475 (best) | $0.70 |
| Cached input | — | — | — |
| Blended (3:1) | $0.486 | $0.20 (best) | $0.573 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 13 providers | Median of 14 providers | Median of 2 providers |
| Limits | |||
| Context window | 163,840 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 163,840 tokens (best) | 16,384 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | — | — |
| API providers | 13 | 14 (best) | 2 |
| Released | Mar 24, 2025 | Apr 28, 2025 | Mar 5, 2025 |
| Knowledge cutoff | — | — | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek V3 0324$4.99
- Qwen3 30B A3B$2.03
- QwQ 32B$6.70
Which should you choose?
Which is better: DeepSeek V3 0324, Qwen3 30B A3B or QwQ 32B?
Qwen3 30B A3B is the better all-round choice, scoring 57/100 against QwQ 32B (53) and DeepSeek V3 0324 (52). It leads on price. DeepSeek V3 0324 wins on context window. QwQ 32B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V3 0324, Qwen3 30B A3B or QwQ 32B?
Qwen3 30B A3B is cheaper at $0.108 input / $0.475 output per million tokens (median across 14 API providers). DeepSeek V3 0324 costs $0.275 input / $1.12 output per million tokens (median across 13 API providers); QwQ 32B costs $0.53 input / $0.70 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Qwen3 30B A3B versus $0.486 for DeepSeek V3 0324 (2.4× as much) and $0.573 for QwQ 32B (2.9× as much).
Which scores higher on benchmarks?
QwQ 32B scores higher on the Capabilities Index (ECI): QwQ 32B 137.5 (#123 of 165), Qwen3 30B A3B 136.2 (#126 of 165) and DeepSeek V3 0324 135.9 (#128 of 165). The confidence ranges of the top two overlap (133.1–141.3 vs 130.8–138.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek V3 0324 67.6%, QwQ 32B 65.3%, Qwen3 30B A3B 61.7%; OTIS Mock AIME 2024–2025 — Qwen3 30B A3B 62.8%, QwQ 32B 59.2%, DeepSeek V3 0324 37.8%.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V3 0324, Qwen3 30B A3B and QwQ 32B yet, so there is no like-for-like coding score. On overall capability, QwQ 32B leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
DeepSeek V3 0324 has the largest context window at 163,840 tokens, against 131,072 for Qwen3 30B A3B and 131,072 for QwQ 32B. Maximum output per response: DeepSeek V3 0324 up to 163,840, Qwen3 30B A3B up to 16,384, QwQ 32B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V3 0324 accepts text; Qwen3 30B A3B accepts text; QwQ 32B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Qwen3 30B A3B is the newest, released Apr 28, 2025. DeepSeek V3 0324 came out Mar 24, 2025; QwQ 32B came out Mar 5, 2025. Knowledge cutoff: QwQ 32B Apr 2024.
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.
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