Claude Sonnet 4.5 Vision vs DeepSeek-V3.2 Instruct: which model should you choose?
We compared Claude Sonnet 4.5 Vision and DeepSeek-V3.2 Instruct on price, context window and 12 benchmarks. Claude Sonnet 4.5 Vision has the stronger average benchmark score; DeepSeek-V3.2 Instruct is cheaper on a blended 3:1 basis.
Claude Sonnet 4.5 Vision
Claude Sonnet 4.5 Vision is a frontier model from Anthropic. It offers a 128,000-token context window, costs $16.99 per million input tokens and $82.33 per million output tokens, and averages 83.8 across the index's benchmark suite.
- Input
- $16.99 / 1M
- Output
- $82.33 / 1M
- Context
- 128,000
- Avg score
- 83.8
- Open weights
- No
DeepSeek-V3.2 Instruct
DeepSeek-V3.2 Instruct is a frontier model from DeepSeek. It offers a 128,000-token context window, costs $5.91 per million input tokens and $29.01 per million output tokens, and averages 83.7 across the index's benchmark suite.
- Input
- $5.91 / 1M
- Output
- $29.01 / 1M
- Context
- 128,000
- Avg score
- 83.7
- Open weights
- Yes
Specification comparison
| Spec | Claude Sonnet 4.5 Vision | DeepSeek-V3.2 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $16.99 | $5.91 | B |
| Output price / 1M | $82.33 | $29.01 | B |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 16,384 | 4,096 | A |
| Average score | 83.8 | 83.7 | A |
| Arena Elo | 1447.6 | 1454.4 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Sonnet 4.5 Vision wins 5, DeepSeek-V3.2 Instruct wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Sonnet 4.5 Vision | DeepSeek-V3.2 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 84.8 | 84.6 | 0.2 | Claude Sonnet 4.5 Vision |
| GPQA Diamond | 79.6 | 80.9 | 1.3 | DeepSeek-V3.2 Instruct |
| SWE-bench Verified | 73.7 | 75.2 | 1.5 | DeepSeek-V3.2 Instruct |
| HumanEval | 87.0 | 90.2 | 3.2 | DeepSeek-V3.2 Instruct |
| MATH-500 | 90.6 | 86.3 | 4.3 | Claude Sonnet 4.5 Vision |
| AIME 2025 | 86.4 | 83.9 | 2.5 | Claude Sonnet 4.5 Vision |
| LiveCodeBench | 76.5 | 75.2 | 1.3 | Claude Sonnet 4.5 Vision |
| IFEval | 89.9 | 91.3 | 1.4 | DeepSeek-V3.2 Instruct |
| TruthfulQA | 83.7 | 84.3 | 0.6 | DeepSeek-V3.2 Instruct |
| HellaSwag | 89.4 | 88.8 | 0.6 | Claude Sonnet 4.5 Vision |
| MMMU | 79.7 | 80.4 | 0.7 | DeepSeek-V3.2 Instruct |
| Arena Elo | 1447.6 | 1454.4 | 6.8 | DeepSeek-V3.2 Instruct |
Price analysis
On a blended 3:1 input-to-output basis, Claude Sonnet 4.5 Vision costs about $33.33 per million tokens and DeepSeek-V3.2 Instruct costs about $11.69. DeepSeek-V3.2 Instruct is roughly 65% cheaper than Claude Sonnet 4.5 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Sonnet 4.5 Vision wins 5, DeepSeek-V3.2 Instruct wins 7, and 0 are tied. On the index average, Claude Sonnet 4.5 Vision leads DeepSeek-V3.2 Instruct by 0.1 points (83.8 versus 83.7).
The price picture favours DeepSeek-V3.2 Instruct. The context picture is effectively a tie. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Claude Sonnet 4.5 Vision for quality-sensitive work and DeepSeek-V3.2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Claude Sonnet 4.5 Vision if
- You want the higher average benchmark score in this index.
- You need the larger 16,384-token output limit.
Choose DeepSeek-V3.2 Instruct if
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Claude Sonnet 4.5 Vision better than DeepSeek-V3.2 Instruct?
On the index average, Claude Sonnet 4.5 Vision leads DeepSeek-V3.2 Instruct by 0.1 points (83.8 versus 83.7). The better choice depends on price, context and your task. Claude Sonnet 4.5 Vision wins 5 benchmarks, DeepSeek-V3.2 Instruct wins 7.
Which is cheaper, Claude Sonnet 4.5 Vision or DeepSeek-V3.2 Instruct?
DeepSeek-V3.2 Instruct is cheaper on a blended 3:1 basis at about $11.69 per million tokens, versus $33.33 for Claude Sonnet 4.5 Vision.
Which has the larger context window?
Both models list a 128,000-token context window.
Are these models open weights?
Claude Sonnet 4.5 Vision is proprietary; DeepSeek-V3.2 Instruct is open weights.
Which should I choose for production?
If you need a single default, start with Claude Sonnet 4.5 Vision for quality-sensitive work and DeepSeek-V3.2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.