API cost decision in 10 seconds

NewGemini 4 Argon vs Claude Opus 5 (batch)

Pick Gemini 4 Argon when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemini 4 Argon when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemini 4 Argon is estimated at $7 vs $8.75 for Claude Opus 5 (batch), saving $1.75 (20% lower).

Cost-first pickGemini 4 Argon
Context-first pickGemini 4 Argon
Sample savings$1.7520%
10x traffic gap$17.5

Gemini 4 Argon is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $17.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemini 4 Argon stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemini 4 ArgonClaude Opus 5 (batch)
Input-heavy / RAG5M input + 500K outputGemini 4 Argon$15$18.75
Balanced workload1M input + 1M outputGemini 4 Argon$12$15
Output-heavy chatbot1M input + 5M outputGemini 4 Argon$52$65
Cheaper input Gemini 4 Argon $2 vs $2.5 / 1M

Gemini 4 Argon is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Gemini 4 Argon $10 vs $12.5 / 1M

Gemini 4 Argon is $2.5 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context Gemini 4 Argon 1.05M vs 1M

Gemini 4 Argon has 48.58K more context (1.05x larger).

Sample workload Gemini 4 Argon $7 vs $8.75

Gemini 4 Argon is $1.75 cheaper on the standard workload (20% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 4 Argon Calculating… Estimated API cost
Claude Opus 5 (batch) Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Gemini 4 Argon has the lower input price; Gemini 4 Argon has the lower output price; Gemini 4 Argon offers the larger context window. For the 1M input plus 500K output sample, Gemini 4 Argon is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $7 for Gemini 4 Argon and $8.75 for Claude Opus 5 (batch).

Best Fit

Choose Gemini 4 Argon when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Claude Opus 5 (batch) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemini 4 Argon is estimated at $7 vs $8.75 for Claude Opus 5 (batch), saving $1.75 (20% lower).
  • Gemini 4 Argon is $1.75 cheaper on the standard workload (20% lower).
  • Gemini 4 Argon is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • Gemini 4 Argon is $2.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • Gemini 4 Argon has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewGemini 4 Argon
(Google)
Claude Opus 5 (batch)
(Anthropic)
Input Price
prompt tokens per 1M
$2$2.5
Completion Price
per 1M tokens
$10$12.5
Sample Workload Cost
1M input + 500K output
$7$8.75
Context Window1.05M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemini 4 ArgonOn the standard 1M input plus 500K output workload, Gemini 4 Argon is estimated at $7 vs $8.75 for Claude Opus 5 (batch), saving $1.75 (20% lower).
High-volume input processingGemini 4 ArgonLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemini 4 ArgonLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 4 ArgonA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Google catalog

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Anthropic catalog

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Gemini 4 Argon

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...

Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...