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
Google: Gemini 4 Argon
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$17.50
$350
Anthropic: Claude Haiku 5.5 saves $333
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$17.00
$340
Anthropic: Claude Haiku 5.5 saves $323
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
$360
Anthropic: Claude Haiku 5.5 saves $342
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$11.00
$220
Anthropic: Claude Haiku 5.5 saves $209
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
$110
Anthropic: Claude Haiku 5.5 saves $105
Capabilities side by side
Capability
Anthropic: Claude Haiku 5.5
Google: Gemini 4 Argon
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
✓ Yes
read screenshots, charts and scanned pages
Audio input
—
✓ Yes
take speech or audio directly
File / PDF input
✓ Yes
✓ Yes
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
✓ Yes
✓ Yes
answer from live web results
Seed (reproducible sampling)
—
✓ Yes
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.
Google: Gemini 4 Argon: price unchanged since we started tracking it on 2026-10-14.
Which should you choose?
Choose Anthropic: Claude Haiku 5.5 if…
cost matters at scale — it is 95% cheaper on a typical 3:1 input/output mix ($17.50 vs $350 a month for 50,000 support chats)
you generate long outputs in one go — up to 128K tokens (about 96,000 words) per response
Choose Google: Gemini 4 Argon if…
you need audio input — to take speech or audio directly; Anthropic: Claude Haiku 5.5 does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; Anthropic: Claude Haiku 5.5 does not advertise it
Frequently asked questions
Is Anthropic: Claude Haiku 5.5 better than Google: Gemini 4 Argon?
Neither wins outright: Anthropic: Claude Haiku 5.5 is the pick when cost matters at scale, Google: Gemini 4 Argon when you need audio input. In short: Anthropic: Claude Haiku 5.5 when cost matters at scale, you generate long outputs in one go; Google: Gemini 4 Argon when you need audio input, you need seed (reproducible sampling).
Which is cheaper, Anthropic: Claude Haiku 5.5 or Google: Gemini 4 Argon?
Anthropic: Claude Haiku 5.5 is cheaper: $0.20 vs $4.00 per 1M tokens at a typical 3:1 input/output mix, 95% less. For 50,000 support conversations a month that is $17.50 against $350.
How much do Anthropic: Claude Haiku 5.5 and Google: Gemini 4 Argon cost per million tokens?
Anthropic: Claude Haiku 5.5 costs $0.10 per 1M input tokens and $0.50 per 1M output tokens; Google: Gemini 4 Argon costs $2.00 input and $10.00 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Anthropic: Claude Haiku 5.5 or Google: Gemini 4 Argon?
Google: Gemini 4 Argon: 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for Anthropic: Claude Haiku 5.5.
Do Anthropic: Claude Haiku 5.5 and Google: Gemini 4 Argon 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...
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...