Standard Compute
Model comparison 2026

Claude Haiku 5.5 vs Gemini 4 Argon

Claude Haiku 5.5
Anthropic · Budget · Proprietary
$0.22/1M · 1M ctx
Gemini 4 Argon
Google · Frontier · Proprietary
$4.40/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Haiku 5.5
Gemini 4 Argon
Maker
Anthropic
Google
Blended price / 1M
$0.22
$4.40
Input / output
$0.10 in · $0.50 out / 1M tokens
$2.00 in · $10 out / 1M tokens
Context window
1M
1.0M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
9.3
Agentic Ability
7.6
9.4
Speed
9.5
7.5
Value for money
8.4
5.4
Reliability
9.2
9.2

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Haiku 5.5 or Gemini 4 Argon?

Updated 2026-10-13

Choose Claude Haiku 5.5 if you want subagents, routing and high-volume steps that stay under 100K tokens per request. Choose Gemini 4 Argon if you want hard coding and agent steps where you want a frontier model outside the Claude and GPT families.

Editorially it's close: each model leads in 2 of our five dimensions. On price, Claude Haiku 5.5 runs about $0.22 per 1M tokens (blended) and is proprietary; Gemini 4 Argon is about $4.40 and proprietary.

Where Haiku 5.5 falls short
  • Prompts over 100K tokens cost 5x on the whole request, and 49.7% of the coding-agent requests we measured were that large
  • New tokenizer counts about 30% more tokens than Haiku 4.5 for the same text
Full Haiku 5.5 breakdown →
Where Gemini 4 Argon falls short
  • Price doubles to $4/$20 per million on December 1, 2026
  • Not available on the Gemini API free tier or the Google AI Pro plan, per Google
Full Gemini 4 Argon breakdown →

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