In short
How they differ.
Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.
- Claude Haiku 5.5 is cheaper per output token: $0.50 against $3.96 per million tokens, so DeepSeek-V4-Pro-0813 costs 7.9 times as much.
- DeepSeek-V4-Pro-0813 can be downloaded and run on your own machine; Claude Haiku 5.5 can't.
- On the 1 independent board that rank both, Claude Haiku 5.5 places higher on 1 and DeepSeek-V4-Pro-0813 on 0.
Side by side
The specs.
| Claude Haiku 5.5 | DeepSeek-V4-Pro-0813 | |
|---|---|---|
| Made by | Anthropic · US | DeepSeek · China |
| Released | Oct 7, 2026 | Aug 13, 2026 |
| Price per 1M tokens | $0.10 in / $0.50 out | $1.32 in / $3.96 out (peak-hours price) |
| Context window | 1M | 1M |
| Takes in | text, image | text |
| Download and run it yourself | No | Yes (MIT) |
| Size | Not published | 1.6T parameters, 49B active |
| Maker says | “For high-volume, latency-sensitive tasks such as classification, extraction, and routing” | — |
| Sources | Prices, Oct 20, 2026 · Description | Prices, Oct 20, 2026 |
Independent tests
Where they place.
Position on each board we follow (1 is best). Epoch AI's and Vectara's scores are shown; the other boards are linked for their own figures.
| Board | Claude Haiku 5.5 | DeepSeek-V4-Pro-0813 |
|---|---|---|
| Epoch Capabilities IndexEpoch AI, Oct 20, 2026 | #14158.98 | Not listed |
| Humanity's Last ExamScale AI | Not listed | #16 |
| SWE-Bench ProScale AI, Sep 22, 2026 | #16 | Not listed |
| MultiChallengeScale AI, Feb 3, 2026 | #6 | Not listed |
| Vals IndexVals AI, Oct 19, 2026 | #10 | #17 |
| Terminal-Bench 4.0Vals AI, Oct 19, 2026 | #15 | Not listed |
| Vibe Code BenchVals AI, Oct 18, 2026 | #3 | Not listed |
| ProofBenchVals AI, Oct 12, 2026 | #11 | Not listed |
| GPQA Diamond (run by Vals AI, archived)Vals AI, Sep 1, 2026 | Not listed | #17 |
| Vectara hallucination testVectara, Oct 16, 2026 | Not listed | #448.6% |
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