LLM Comparison
DeepSeek V3.2 Speciale vs DeepSeek V4 Pro
Side-by-side specs, pricing & capabilities · Updated August 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 63 78.4 | 45 69.6 |
| Family | DeepSeek | DeepSeek V4 |
| Status | Current | Current |
| Release Date | Dec 2025 | Aug 2026 |
| Context Window | 164K tokens | 1.0M tokens |
| Input Price | $0.40/M tokens | $0.43/M tokens |
| Output Price | $1.20/M tokens | $0.87/M tokens |
| Pricing Notes | Cache read: $0.2000/M tokens | DeepSeek API pricing currently lists $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens for deepseek-v4-pro. DeepSeek announced peak/off-peak pricing effective August 16, 2026, with off-peak prices at half the peak rate. |
| Capabilities | textcode | reasoningcodingtool-usestructured-outputlong-contextagenticresponses-api |
| Max Output | 164K tokens | 393K tokens |
| API Identifier | deepseek/deepseek-v3.2-speciale | deepseek-v4-pro |
| Benchmarks | ||
| MMLU-Pro | 85deepseek | — |
| AIME 2025 | 96deepseek | — |
| LiveCodeBench | 88.7deepseek | — |
| HLE | 30.6deepseek | — |
| HMMT 2025 | 99deepseek | — |
| SWE-bench Verified | 73deepseek | — |
| Terminal-Bench 2.0 | 46deepseek | — |
| Artificial Analysis Intelligence Index v4.1 | — | 44artificial-analysis |
| Artificial Analysis Intelligence Index v4.1.1 | — | 53artificial-analysis |
| View DeepSeek V3.2 Speciale | View DeepSeek V4 Pro | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V4 ProCheapest | $0.44 | $0.44 | $0.87 | — |
| DeepSeek V3.2 Speciale | $0.40 | $0.60 | $1.00 | +15% |
DeepSeek
DeepSeek V3.2 Speciale
DeepSeek V3.2 Speciale is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.40/M input tokens.
DeepSeek
DeepSeek V4 Pro
DeepSeek V4 Pro 0813 is an open-weight Mixture-of-Experts reasoning model for long-context coding, tool use, and agentic workloads, with native Responses API support through the DeepSeek API.
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