Claude Haiku 4.5 vs DeepSeek V3.2
Both are current-generation, fast, cost-focused models rather than frontier flagships. Claude Haiku 4.5 (released 2025-10-15) trades some raw benchmark strength for Anthropic's multimodal input and a 200K context window. DeepSeek V3.2 (released 2025-12-01, about six weeks newer) is text-only but comes with sparse attention for efficiency and pricing that undercuts Haiku by a wide margin. The choice comes down to modality needs and how much the price gap matters at your volume.
Spec vs spec
| Spec | Claude Haiku 4.5 | DeepSeek V3.2 |
|---|---|---|
| Context window | 200K | 131K |
| Max output | 64K | 64K |
| Input modalities | text, image, file | text |
| Output modalities | text | text |
| Released | Oct 15, 2025 | Dec 1, 2025 |
| Reasoning | optional | optional |
Pricing
Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.
anthropic/claude-haiku-4.5
Input · 1M tokens
$1.00 + 3%$1.03
Output · 1M tokens
$5.00 + 3%$5.15
Cache read · 1M tokens
$0.100 + 3%$0.103
Cache write · 1M tokens
$1.25 + 3%$1.29
FEE — FLAT, EVERY MODEL3%
deepseek/deepseek-v3.2
Input · 1M tokens
$0.229 + 3%$0.236
Output · 1M tokens
$0.343 + 3%$0.353
Cache read · 1M tokens
$0.023 + 3%$0.024
FEE — FLAT, EVERY MODEL3%
One workload, priced on both
10M input + 2M output tokens at each model's price, flat 3% fee included.
anthropic/claude-haiku-4.5
$20.60
$20.00 provider + 3%
deepseek/deepseek-v3.2Cheaper
$3.06
$2.97 provider + 3%
Benchmarks
Design Arena categories where both models have results. Higher Elo and lower rank win.
| Claude Haiku 4.5 | DeepSeek V3.2 | |||
|---|---|---|---|---|
| Category | Elo | Rank | Elo | Rank |
| 3D | 1149 | #63 | 1210 | #41 |
| ASCII art | 1187 | #30 | 1129 | #42 |
| Code | 1164 | #63 | 1213 | #48 |
| Data viz | 1168 | #59 | 1203 | #48 |
| Game dev | 1162 | #60 | 1197 | #50 |
| SVG | 1083 | #56 | 1089 | #54 |
| UI components | 1155 | #60 | 1203 | #47 |
| Websites | 1164 | #64 | 1217 | #46 |
Head-to-head preference voting. How we filter and rank
Pricing math on a real workload
On OpenKey, list price plus the flat 3% fee gives Claude Haiku 4.5 at $1.03/M input and $5.15/M output tokens ($1.00 x 1.03, $5.00 x 1.03). DeepSeek V3.2 comes in at $0.235664/M input and $0.353496/M output ($0.2288 x 1.03, $0.3432 x 1.03). Run a job with 10M input tokens and 2M output tokens and Haiku 4.5 costs $20.00 total versus $2.97 for DeepSeek V3.2 — about a 6.7x difference on this specific mix, driven mostly by Haiku's much higher output price. If your workload is output-heavy (long completions, code generation), that gap widens further. The input price ratio alone is 4.37x in DeepSeek's favor.
Design Arena benchmarks
DeepSeek V3.2 leads on most Design Arena categories: 3D (elo 1210 vs 1149), code categories (1213 vs 1164), data viz (1203 vs 1168), game dev (1197 vs 1162), UI components (1203 vs 1155), and website (1217 vs 1164). Claude Haiku 4.5 only edges ahead on ASCII art (1187 vs 1129) and is close on SVG (1083 vs 1089, effectively a tie). Ranks tell the same story — DeepSeek sits in the 41-54 range across categories while Haiku 4.5 ranks 30-64, meaning DeepSeek is more consistently competitive against the full model field.
Context and modality
Claude Haiku 4.5 supports a 200,000 token context window against DeepSeek V3.2's 131,072 — a 1.53x ratio in Haiku's favor, useful if you're feeding in large codebases or long documents. Both cap output at 64,000 tokens. The bigger difference is input modality: Haiku 4.5 accepts text, image, and file input, while DeepSeek V3.2 is text-only. If your pipeline needs to read screenshots, PDFs, or scanned documents directly, DeepSeek V3.2 is not an option regardless of its price advantage.
Parameters and tooling
DeepSeek V3.2 exposes more inference-time controls: frequency/presence penalties, logit_bias, logprobs, min_p, repetition_penalty, seed, and top_logprobs, on top of the standard tool_choice/tools/reasoning set. Claude Haiku 4.5's supported parameter list is shorter — no logprobs, no seed, no penalty controls — but it still supports tools, tool_choice, reasoning, and structured outputs. If you need deterministic sampling (seed) or fine-grained log probability inspection, DeepSeek V3.2 is the only one of the two that offers it.
Which model for which job
| Use case | Pick | Why |
|---|---|---|
| High-volume code generation | DeepSeek V3.2 | Wins code-category Design Arena elo (1213 vs 1164) at roughly 1/6.7 the cost on the 10M/2M workload |
| Document/image analysis pipeline | Claude Haiku 4.5 | Only model of the two with image and file input modalities |
| Long-document summarization | Claude Haiku 4.5 | 200K context vs 131,072 — 1.53x more room before chunking |
| Budget-constrained agent loops | DeepSeek V3.2 | $0.235664/M input on OpenKey vs $1.03/M, a 4.37x input price gap |
| Deterministic/reproducible outputs | DeepSeek V3.2 | Supports seed and logprobs parameters; Haiku 4.5 does not |
| ASCII art or text-pattern generation | Claude Haiku 4.5 | Higher Design Arena elo in this category (1187 vs 1129) |
Questions
- How much cheaper is DeepSeek V3.2 than Claude Haiku 4.5?
- On OpenKey, DeepSeek V3.2 costs $0.235664 per million input tokens versus $1.03 for Claude Haiku 4.5 — a 4.37x gap. On a 10M input / 2M output workload, total cost is $2.97 for DeepSeek V3.2 versus $20.00 for Claude Haiku 4.5.
- Which model has a bigger context window?
- Claude Haiku 4.5 supports 200,000 tokens of context versus 131,072 for DeepSeek V3.2, a 1.53x ratio. Both models cap output generation at 64,000 tokens.
- Can DeepSeek V3.2 process images?
- No. DeepSeek V3.2 is text-only on both input and output. Claude Haiku 4.5 accepts text, image, and file inputs, so it's the only choice of the two for multimodal tasks.
- Which model scores better on coding-style benchmarks?
- DeepSeek V3.2 leads on Design Arena's code-categories benchmark with an elo of 1213 (rank 48) versus Claude Haiku 4.5's 1164 (rank 63). It also leads on website and UI-component categories. Both models are available on OpenKey with a single API key and the standard 3% flat fee over provider list price.