Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
Anthropic: Claude Haiku 5.5
Inception: Mercury 3
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$17.50
$14.50
Inception: Mercury 3 saves $3.00
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$17.00
$15.50
Inception: Mercury 3 saves $1.50
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$18.00
$16.20
Inception: Mercury 3 saves $1.80
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$11.00
$10.10
Inception: Mercury 3 saves $0.90
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.50
$5.35
Inception: Mercury 3 saves $0.15
Capabilities side by side
Capability
Anthropic: Claude Haiku 5.5
Inception: Mercury 3
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
✓ Yes
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
—
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
✓ Yes
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
✓ Yes
—
answer from live web results
Seed (reproducible sampling)
—
—
repeat a generation for tests and evals
Log-probabilities
—
—
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
Anthropic: Claude Haiku 5.5: price unchanged since we started tracking it on 2026-10-08.
Inception: Mercury 3: price unchanged since we started tracking it on 2026-10-20.
Which should you choose?
Choose Anthropic: Claude Haiku 5.5 if…
you need image input — to read screenshots, charts and scanned pages; Inception: Mercury 3 does not advertise it
you need file / PDF input — to accept documents without your own parsing step; Inception: Mercury 3 does not advertise it
you need built-in web search — to answer from live web results; Inception: Mercury 3 does not advertise it
Choose Inception: Mercury 3 if…
cost matters at scale — it is 19% cheaper on a typical 3:1 input/output mix ($14.50 vs $17.50 a month for 50,000 support chats)
Frequently asked questions
Is Anthropic: Claude Haiku 5.5 better than Inception: Mercury 3?
Neither wins outright: Anthropic: Claude Haiku 5.5 is the pick when you need image input, Inception: Mercury 3 when cost matters at scale. In short: Anthropic: Claude Haiku 5.5 when you need image input, you need file / PDF input, you need built-in web search; Inception: Mercury 3 when cost matters at scale.
Which is cheaper, Anthropic: Claude Haiku 5.5 or Inception: Mercury 3?
Inception: Mercury 3 is cheaper: $0.16 vs $0.20 per 1M tokens at a typical 3:1 input/output mix, 19% less. For 50,000 support conversations a month that is $14.50 against $17.50.
How much do Anthropic: Claude Haiku 5.5 and Inception: Mercury 3 cost per million tokens?
Anthropic: Claude Haiku 5.5 costs $0.10 per 1M input tokens and $0.50 per 1M output tokens; Inception: Mercury 3 costs $0.10 input and $0.35 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Anthropic: Claude Haiku 5.5 or Inception: Mercury 3?
Both take 1M tokens per request — roughly 1,500 pages of text.
Do Anthropic: Claude Haiku 5.5 and Inception: Mercury 3 support function calling and JSON output?
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...