Standard Compute
Model comparison 2026

Claude Opus 4.8 vs Gemini 4 Argon

Claude Opus 4.8
Anthropic · Frontier · Proprietary
$11/1M · 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
Opus 4.8
Gemini 4 Argon
Maker
Anthropic
Google
Blended price / 1M
$11
$4.40
Input / output
$5.00 in · $25 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
8.0
9.3
Agentic Ability
6.7
9.4
Speed
6.7
7.5
Value for money
4.3
5.4
Reliability
8.9
9.2

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

Verdict: Opus 4.8 or Gemini 4 Argon?

Updated 2026-10-13

Choose Claude Opus 4.8 if you want existing Opus 4.8 setups until they move to Opus 5.5. Choose Gemini 4 Argon if you want hard coding and agent steps where you want a frontier model outside the Claude and GPT families.

In our editorial scoring, Gemini 4 Argon leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Claude Opus 4.8 leads in 0. On price, Claude Opus 4.8 runs about $11 per 1M tokens (blended) and is proprietary; Gemini 4 Argon is about $4.40 and proprietary.

Where Opus 4.8 falls short
  • Superseded by Claude Opus 5.5, which costs less ($4/$20 vs $5/$25) and scores far higher
  • Haiku 5.5 now scores higher on Artificial Analysis (43 vs 42) at a fraction of the price
Full Opus 4.8 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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