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Cost and performance comparison

Claude Haiku 4.5 vs DeepSeek V3

Model AAnthropic

Claude Haiku 4.5

Capability score (editorial)82/100
Cost / 1M Tokens
$2.20
70% in · 30% out mix
≈ $2.42 for the same text, tokenizer included
Value Index (score÷cost)
33.9
Higher = better value
Speed
97/100
Context
200K
Tier
Fast Tier

List price from the Anthropic pricing page, verified October 12, 2026.

Its tokenizer produces about 10% more tokens than OpenAI's for the same text, so the real cost runs higher than the list price suggests. This is an estimate: the tokenizer has not been measured yet.

Check the source

How we verify prices

Model BDeepSeek

DeepSeek V3

Capability score (editorial)84/100
Cost / 1M Tokens
$0.52
70% in · 30% out mix
Value Index (score÷cost)
158.7
Higher = better value
Speed
85/100
Context
128K
Tier
Fast Tier

Last list price before the model was retired.

Across the 25 languages we measured, it needs about 21% more tokens than OpenAI's for the same text. Costs by language

How we verify prices

In-depth analysis

Claude Haiku 4.5 vs DeepSeek V3: Detailed Comparison

Claude Haiku 4.5 is Anthropic's lightweight-tier language model with a 200K-token context window, excelling at data extraction. DeepSeek V3 from DeepSeek is a lightweight-tier model supporting 128K tokens in context, with standout performance in data extraction.

DeepSeek V3 is both the cheaper and the stronger model here — for the same text it costs 78% less than Claude Haiku 4.5 and still leads on combined coding and reasoning by 3 points. There is no tradeoff to weigh on this pair: unless you need something specific from Claude Haiku 4.5, the cheaper model is simply the better one. Claude Haiku 4.5 is priced at $1.00/M input tokens and $5.00/M output tokens. DeepSeek V3 costs $0.27/M input and $1.10/M output.

Claude Haiku 4.5 turns the same text into about 8% more tokens than DeepSeek V3, because their tokenizers differ — so comparing list prices per token understates what Claude Haiku 4.5 costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude Haiku 4.5 works out at about $2.42 per million tokens and DeepSeek V3 at $0.53. Every cost figure on this page includes that difference.

On iOPTERA's editorial scores, DeepSeek V3 leads with 84/100 for coding and 84/100 for reasoning, against Claude Haiku 4.5's 83/100 and 82/100.

Capability breakdown

Across the five core benchmark categories, here is how Claude Haiku 4.5 and DeepSeek V3 stack up head to head:

coding
83
84
reasoning
82
84
data extraction
91
86
creative tasks
82
83
vision/multimodal
80
0

Best model by task

  • coding: DeepSeek V3 wins with 84/100
  • reasoning: DeepSeek V3 wins with 84/100
  • data extraction: Claude Haiku 4.5 wins with 91/100
  • creative tasks: DeepSeek V3 wins with 83/100
  • vision/multimodal: Claude Haiku 4.5 wins with 80/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Claude Haiku 4.5 runs about $22.00 while DeepSeek V3 runs about $5.00 — DeepSeek V3 saves roughly $17.00 (77%) every month.

What actually decides it

Claude Haiku 4.5 and DeepSeek V3 come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

Claude Haiku 4.5 and DeepSeek V3 were released within 10 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

Claude Haiku 4.5 carries the larger context window at 200K tokens versus 128K for DeepSeek V3. The gap is real but not decisive — it matters if your prompts routinely run long, and is irrelevant if they sit where most production prompts sit, well under 100K. Bear in mind that filling a large window is also what makes a request expensive.

Throughput is close enough to ignore — 97/100 versus 85/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

One practical asymmetry: Claude Haiku 4.5 offers a batch API at 50% off standard rates, and DeepSeek V3 does not. For anything that does not need an answer immediately — nightly enrichment, backfills, evaluation runs — that discount can be worth more than the difference in list price, and it is easy to overlook when comparing headline rates.

DeepSeek V3 wins this comparison outright — cheaper and stronger. Choose Claude Haiku 4.5 only if it has a specific capability you need; on price and benchmarks it is behind on both.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing termClaude Haiku 4.5DeepSeek V3
List price (input / output)$1.00 / $5.00$0.27 / $1.10
Cached input$0.1010% of the input price—
Batch API50% off input and output—
Long promptsNo surcharge across the 200K window—
Input with 80% cache hits$0.28—

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Claude also bills cache writes: 1.25× the input price for a 5-minute cache, 2× for one hour.

Checked on October 8, 2026 against the pricing pages of Anthropic, DeepSeek.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryClaude HaikuDeepSeek V3Winner

Coding

83
84
B

Reasoning

82
84
B

Extraction

91
86
A

Creative

82
83
B

Vision

80
0
A
Claude Haiku 4.5: 2 wins
DeepSeek V3: 3 wins
DeepSeek V3 leads overall

Speed Score

97/100vs85/100
ClaudeDeepSeek

Context Window

200Kvs128K
ClaudeDeepSeek

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens
Claude Haiku 4.5
$0.44
DeepSeek V3
$0.11

Business email

One typical email (~200 words)

~270 tokens
Claude Haiku 4.5
$29.70
DeepSeek V3
$7.44

Code file

50-line Python script

~400 tokens
Claude Haiku 4.5
$44.00
DeepSeek V3
$11.02

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude Haiku 4.5 and DeepSeek V3, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

30M tokens
Prompt 70%Completion 30%

Claude Haiku 4.5

$72.60/mo

$871.20/yr

$1.00/M input$5.00/M output
Cheaper

DeepSeek V3

$15.88/mo

$190.58/yr

$0.27/M input$1.10/M output

Annual Savings

$680.62 saved per year

DeepSeek V3 cheaper · $56.72/mo

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