Claude Sonnet 3.5 v2 vs Qwen3 14B
Qwen3 14B comes out ahead, 54 to 44 on our weighted score, and it is the cheaper option too.
Anthropic
Claude Sonnet 3.5 v2
44/100- ECI133.5
- Price$3.00 / $15.00
- Context200K
- Our pick
Alibaba (Qwen)
Qwen3 14B
54/100- ECI138.2
- Price$0.35 / $1.40
- Context131K
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Make it a three-way comparison.
Qwen3 14B is our pick
Qwen3 14B is the better all-round choice, scoring 54/100 against Claude Sonnet 3.5 v2 (44). It leads on capability and price. Claude Sonnet 3.5 v2 wins on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 14BCapabilities Index (ECI): Qwen3 14B 138.2 · Claude Sonnet 3.5 v2 133.5
- Lowest priceQwen3 14BQwen3 14B $0.613 · Claude Sonnet 3.5 v2 $6.00 per 1M tokens (3:1 blend)
- Longest contextClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 200,000 · Qwen3 14B 131,072 tokens
- Widest inputsClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2: Text, Images, PDFs · Qwen3 14B: Text
- Self-hostingQwen3 14BPublishes downloadable weights
| Measure | Weight | Claude Sonnet 3.5 v2 | Qwen3 14B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 57 | 63 |
| Price | 25% | 13 | 60 |
| Inputs & features | 15% | 60 | 35 |
| Context window | 10% | 32 | 24 |
| Overall | 100% | 44/100 | 54/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 133.5 | 138.2 (best) |
| ECI rank | #119 of 148 | #107 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 55.3% | 63.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 8.5% | 66.4% (best) |
| Price per million tokens | ||
| Input | $3.00 | $0.35 (best) |
| Output | $15.00 | $1.40 (best) |
| Cached input | — | — |
| Blended (3:1) | $6.00 | $0.613 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Alibaba API |
| Limits | ||
| Context window | 200,000 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | qwen3-14b |
| API providers | 1 | 1 |
| Released | Oct 22, 2024 | Apr 29, 2025 |
| Knowledge cutoff | Apr 30, 2024 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Claude Sonnet 3.5 v2$60.00
Qwen3 14B$6.30
Which should you choose?
Which is better: Claude Sonnet 3.5 v2 or Qwen3 14B?
Qwen3 14B is the better all-round choice, scoring 54/100 against Claude Sonnet 3.5 v2 (44). It leads on capability and price. Claude Sonnet 3.5 v2 wins on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Sonnet 3.5 v2 or Qwen3 14B?
Qwen3 14B is cheaper at $0.35 input / $1.40 output per million tokens (official Alibaba API price). Claude Sonnet 3.5 v2 costs $3.00 input / $15.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.613 per million tokens for Qwen3 14B versus $6.00 for Claude Sonnet 3.5 v2 (9.8× as much).
Which scores higher on benchmarks?
Qwen3 14B scores higher on the Capabilities Index (ECI): Qwen3 14B 138.2 (#107 of 148) and Claude Sonnet 3.5 v2 133.5 (#119 of 148). The confidence ranges of the top two overlap (133.5–140.1 vs 129.2–137.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 14B 63.8%, Claude Sonnet 3.5 v2 55.3%; OTIS Mock AIME 2024–2025 — Qwen3 14B 66.4%, Claude Sonnet 3.5 v2 8.5%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Sonnet 3.5 v2 and Qwen3 14B yet, so there is no like-for-like coding score. On overall capability, Qwen3 14B 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?
Claude Sonnet 3.5 v2 has the largest context window at 200,000 tokens, against 131,072 for Qwen3 14B. Maximum output per response: Claude Sonnet 3.5 v2 up to 8,192, Qwen3 14B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Claude Sonnet 3.5 v2 accepts text, images and PDFs; Qwen3 14B accepts text. Claude Sonnet 3.5 v2 handles the widest range of inputs.
Are any of these open source?
Qwen3 14B publishes its weights and can be self-hosted; Claude Sonnet 3.5 v2 is proprietary.
Which is newer?
Qwen3 14B is the newest, released Apr 29, 2025. Claude Sonnet 3.5 v2 came out Oct 22, 2024. Knowledge cutoff: Claude Sonnet 3.5 v2 Apr 30, 2024, Qwen3 14B Apr 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 Oct 4, 2026.