Model comparison
Claude Haiku 4.5 vs DeepSeek V3.1
Anthropic against DeepSeek, compared on context, price, and attributed benchmark results.
Claude Haiku 4.5: profile checked October 25, 2026DeepSeek V3.1: profile checked October 25, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below
Anthropic
Claude Haiku 4.5
Budget
DeepSeek
DeepSeek V3.1
Budget · Open weights
| Specification | Claude Haiku 4.5 | DeepSeek V3.1 |
|---|---|---|
| Provider | ||
| Provider | Anthropic | DeepSeek |
| Tier | ||
| Tier | Budget | Budget |
| Context window | ||
| Context window | Winner: 200K | 128K |
| Max output | ||
| Max output | 64K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $1 | Not verifiedUnverified |
| Output / 1M tokens | ||
| Output / 1M tokens | $5 | Not verifiedUnverified |
| Weights | ||
| Weights | Closed | Open |
| Parameters | ||
| Parameters | Not verifiedUnverified | 671B total / 37B active (MoE) |
| Reasoning levels | ||
| Reasoning levels | extended thinking (budget_tokens) | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image | text |
| License | ||
| License | Not verifiedUnverified | MIT |
| API model id | ||
| API model id | claude-haiku-4-5-20251001 | Not verifiedUnverified |
| Released | ||
| Released | October 15, 2025 | August 21, 2025 |
| SWE-bench Verified [high] · source date Claude Haiku 4.5: 2026-02-17 | ||
| SWE-bench Verified [high] · source date Claude Haiku 4.5: 2026-02-17 | 66.6 | Not verifiedUnverified |
| SWE-bench Verified · source date Claude Haiku 4.5: 2025-10-15 | ||
| SWE-bench Verified · source date Claude Haiku 4.5: 2025-10-15 | 73.3 | Not verifiedUnverified |
| Terminal-Bench · source date Claude Haiku 4.5: 2025-10-15 | ||
| Terminal-Bench · source date Claude Haiku 4.5: 2025-10-15 | 40.21 | Not verifiedUnverified |
Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- Source date2026-02-17SWE-bench official submission metadata (66.6%, $0.330924/task; distinct from Anthropic vendor 73.3%) (mini-SWE-agent 2.0.0; bash-only, single attempt; published submission February17,2026)
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
- Source date2025-10-15
- Source date2025-10-15Anthropic — Introducing Claude Haiku 4.5 (vendor, avg of 50 trials, 128K thinking budget)
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
Pricing tiers
Claude Haiku 4.5: Standard $1/$5 per MTok; cache reads $0.10, 5-minute writes $1.25 and 1-hour writes $2. Batch $0.50/$2.50. Context 200K and output 64K. Reliable knowledge cutoff Feb 2025; training cutoff Jul 2025. The alias claude-haiku-4-5 resolves to claude-haiku-4-5-20251001. Retirement not sooner than October 15, 2026; no definite shutdown is announced.
DeepSeek V3.1: No current first-party API or verified third-party tariff. deepseek-chat moved to V3.1-Terminus on September 22, 2025; that alias later retired July 24, 2026. MIT weights remain for self-hosting or separately priced hosts. The original checkpoint's hard output cap and selectable hosted effort menu remain unverified. Current Flash/Pro API prices do not price the original V3.1 checkpoint.
Claude Haiku 4.5
Anthropic's earlier Haiku model for classification and extraction, retained for existing 200K-context workloads and historical evaluations.
Best for
- High-volume classification
- Routine extraction
- Latency-sensitive stacks
Watch out
Active legacy, still served; the recommended Haiku 5.5 successor released October 7, 2026. Manual extended thinking uses budget_tokens rather than adaptive thinking or selectable effort. The October 15, 2026 earliest retirement commitment has passed, but no definite shutdown is announced. The convenience alias resolves to claude-haiku-4-5-20251001. Earlier models such as this do not support inference_geo; sending it errors rather than enabling US-only pricing.
DeepSeek V3.1
DeepSeek V3.1 is a legacy open-weight (MIT) 671B/37B MoE with a 128K context — superseded by V3.1-Terminus, V3.2 and then V4.
Best for
- Cost-sensitive hosted agents
- High-volume coding assist
- Open-weight deployments
Watch out
Legacy: DeepSeek's first-party alias moved to V3.1-Terminus on September 22, 2025. Pin the exact V3.1 checkpoint; current hosted rates depend on provider. The original card supports thinking/non-thinking templates, not a verified selectable low/high/max menu. Self-hosting memory depends on quantization, offloading and hardware. The current first-party pricing table lists Flash-1017 and Pro-0813 only; absence of a third-party tariff here means unknown, not free.
When the cheaper one wins
One of these rows is missing a verified output price, so this page will not name a cheaper winner. Run the model picker against the actual job instead of guessing.
Run the model pickerEvidence confidence: Insufficient data
How strong and complete the evidence behind this comparison is — not a prediction of which model is better. Hard limitations apply: missing pricing; evidence too sparse.
- Pricing incomplete — No verified token pricing for DeepSeek V3.1.
- 2/5 core specs verified on both sides — Not published for at least one side: max output, parameter count, reasoning levels.
- No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
- Verified within the last 90 days — Older of the two catalog checks was 1 day ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Haiku 4.5: Whole-record source check: exact model card (accessed 2026-10-25)
- Claude Haiku 4.5: Whole-record source check: current publisher pricing, controls or access terms (accessed 2026-10-25)
- Claude Haiku 4.5: Whole-record source check: current publisher pricing, controls or access terms (accessed 2026-10-25)
- Claude Haiku 4.5: Whole-record source check: current publisher pricing, controls or access terms (accessed 2026-10-25)
- Claude Haiku 4.5: Whole-record source check: exact model card (accessed 2026-10-25)
- DeepSeek V3.1: Whole-record check: current publisher specifications, licence, access or tariff (accessed 2026-10-25)
- DeepSeek V3.1: Whole-record check: current publisher specifications, licence, access or tariff (accessed 2026-10-25)
- DeepSeek V3.1: Whole-record check: current publisher specifications, licence, access or tariff (accessed 2026-10-25)
- DeepSeek V3.1: DeepSeek — V3.1 (accessed 2026-08-29)
- DeepSeek V3.1: CloudPrice — DeepSeek V3.1 (accessed 2026-08-29)
Related comparisons
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- Claude Haiku 4.5 vs Claude Haiku 5.5
- Claude Haiku 4.5 vs Claude Mythos 5.1
- Claude Haiku 4.5 vs Claude Opus 5
- Claude Haiku 4.5 vs Claude Opus 5.5
Diving deeper on one model? Claude Haiku 4.5 · DeepSeek V3.1
Common questions
Claude Haiku 4.5 vs DeepSeek V3.1
Answered from the verified figures on this page rather than general guidance.
Which has the larger context window, Claude Haiku 4.5 or DeepSeek V3.1?
Should I use Claude Haiku 4.5 or DeepSeek V3.1?
Can I self-host Claude Haiku 4.5 or DeepSeek V3.1?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Context: Claude Haiku 4.5 takes 200K against 128K for DeepSeek V3.1 — only decisive if your prompts approach the smaller window.
- Deployment: DeepSeek V3.1 publishes weights you can self-host; the other is API-only.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.