Claude Haiku 5.5 vs DeepSeek V4

Anthropic · US  |  DeepSeek · China · Updated June 2026

Quick verdict

Pick Claude Haiku 5.5 for 5x the context window of haiku 4.5 (1m vs 200k tokens) and double the max output (128k vs 64k) or first haiku-class model with an adjustable 'effort' setting to trade off cost, latency, and intelligence. Pick DeepSeek V4 for near-frontier coding at ~1/12 the cost or open mit-licensed weights you can self-host. Choose DeepSeek V4 if you need self-hosting or data privacy; Claude Haiku 5.5 if you want a managed API.

Claude Haiku 5.5 (Anthropic, US) and DeepSeek V4 (DeepSeek, China) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Claude Haiku 5.5 is anthropic's October 7, 2026 small-model refresh — a 1M-token context window (up from 200K) at roughly 75% lower average cost than Haiku 4.5, priced at $0.10/$0.50 per million tokens. DeepSeek V4 is china's open-weight price earthquake — near-frontier capability at roughly a twelfth of GPT-5.5's cost. They diverge most on price and open vs. closed weights — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecClaude Haiku 5.5DeepSeek V4
ProviderAnthropic (US) DeepSeek (China)
ReleasedOctober 7, 2026 April 24, 2026
Context window1M tokens (~1,500 pages) 1M (~1,500 pages)
Price (in/out)$0.1/$0.5 per 1M tokens $0.66/$1.98 per 1M tokens
Open weight?No — API only Yes — self-hostable
Modalitiestext, image, code text, code
SWE-Bench VerifiedNot published 80.6%
MRCR v2 @ 1MNot published Not published

Who wins what

5x the context window of Haiku 4.5 (1M vs 200K tokens) and double the max output (128K vs 64K)

Claude Haiku 5.5

Anthropic's October 7, 2026 small-model refresh — a 1M-token context window (up from 200K) at roughly 75% lower average cost than Haiku 4.5, priced at $0.10/$0.50 per million tokens — and it runs cheaper at $0.1/$0.5 per 1M tokens.

First Haiku-class model with an adjustable 'effort' setting to trade off cost, latency, and intelligence

Claude Haiku 5.5

At $0.1/$0.5 per 1M tokens it undercuts DeepSeek V4 ($0.66/$1.98 per 1M tokens), and that gap compounds at volume.

Anthropic's cheapest small model yet — runs about 75% cheaper on average than Haiku 4.5

Claude Haiku 5.5

Anthropic's October 7, 2026 small-model refresh — a 1M-token context window (up from 200K) at roughly 75% lower average cost than Haiku 4.5, priced at $0.10/$0.50 per million tokens — and it is the newer of the two.

Near-frontier coding at ~1/12 the cost

DeepSeek V4

China's open-weight price earthquake — near-frontier capability at roughly a twelfth of GPT-5.5's cost — and its weights are open while Claude Haiku 5.5 is API-only.

Open MIT-licensed weights you can self-host

DeepSeek V4

Open weights make this possible at all — Claude Haiku 5.5 is API-only, so it cannot leave the vendor's servers.

No long-context surcharge

DeepSeek V4

DeepSeek V4 lists no long-context surcharge among its strengths; Claude Haiku 5.5 does not.

Lowest cost at scale

Claude Haiku 5.5

At $0.1/$0.5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Claude Haiku 5.5

At $0.1/$0.5 per 1M tokens it undercuts DeepSeek V4, and on millions of tokens that margin decides the monthly bill.

A team with data-privacy or self-hosting needs

→ DeepSeek V4

Open weights let you run it on your own hardware; Claude Haiku 5.5 is API-only.

Anyone whose priority is 5x the context window of haiku 4.5 (1m vs 200k tokens) and double the max output (128k vs 64k)

→ Claude Haiku 5.5

It is specifically built for that.

Anyone whose priority is near-frontier coding at ~1/12 the cost

→ DeepSeek V4

That is its strongest area.

An enterprise with regional data-residency rules

→ Claude Haiku 5.5 or DeepSeek V4

Origin (US vs China) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

Claude Haiku 5.5: where it fits

Anthropic's October 7, 2026 small-model refresh — a 1M-token context window (up from 200K) at roughly 75% lower average cost than Haiku 4.5, priced at $0.10/$0.50 per million tokens. Released October 7, 2026 by Anthropic, it is built for 5x the context window of Haiku 4.5 (1M vs 200K tokens) and double the max output (128K vs 64K), first Haiku-class model with an adjustable 'effort' setting to trade off cost, latency, and intelligence, anthropic's cheapest small model yet — runs about 75% cheaper on average than Haiku 4.5, and over-refuses benign requests only 0.17% of the time on the API, down from Haiku 4.5's 0.44%.

Its trade-offs are real: pricing jumps roughly 5x beyond 100K-token prompts ($0.50/$2.50 per million vs the headline $0.10/$0.50), extended thinking can no longer be fully disabled — only dialed between low, medium, and high effort, and as the smallest tier, trails both Sonnet 5.5 and Opus 5.5 on hard reasoning and open-ended work. At $0.1 in / $0.5 out per million tokens, it sits in the budget price band.

DeepSeek V4: where it fits

China's open-weight price earthquake — near-frontier capability at roughly a twelfth of GPT-5.5's cost. Released April 24, 2026 by DeepSeek, it is built for near-frontier coding at ~1/12 the cost, open MIT-licensed weights you can self-host, no long-context surcharge, and highest LiveCodeBench result.

Its trade-offs: this generic 'V4' entry mirrors DeepSeek V4-Pro's specs - see DeepSeek V4-Pro and DeepSeek V4-Flash for DeepSeek's actual named product tiers, trails the very best on hardest agentic coding, and text/code focused, less multimodal. At $0.66 in / $1.98 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

The defining split here is open vs. closed. DeepSeek V4 gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Claude Haiku 5.5 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.

Want both Claude Haiku 5.5 and DeepSeek V4 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Claude Haiku 5.5 or DeepSeek V4 better for coding?

Public SWE-Bench figures are not available for Claude Haiku 5.5, so the honest test is your own repository — run an identical real bug through both. By design, Claude Haiku 5.5 leans toward 5x the context window of haiku 4.5 (1m vs 200k tokens) and double the max output (128k vs 64k) while DeepSeek V4 leans toward near-frontier coding at ~1/12 the cost, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Claude Haiku 5.5 or DeepSeek V4?

DeepSeek V4 is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Claude Haiku 5.5 is API-metered at $0.1/$0.5 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.

Which has the bigger context window?

Both advertise 1M tokens (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both Claude Haiku 5.5 and DeepSeek V4 together?

Yes — a multi-model platform like LumiChats gives you Claude Haiku 5.5, DeepSeek V4 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Claude Haiku 5.5 or DeepSeek V4?

Claude Haiku 5.5 — released October 7, 2026, about 6 months after DeepSeek V4.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.