Model Comparison 2026

Claude Opus 4.8 vs Claude Sonnet 4.6

Claude Opus 4.8
Anthropic · Frontier · Proprietary
$11/1M · 1M ctx
Claude Sonnet 4.6
Anthropic · Balanced · Proprietary
$6.60/1M · 1M ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

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 $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
Opus 4.8
Sonnet 4.6
Maker
Anthropic
Anthropic
Blended price / 1M
$11
$6.60
Input / output
$5.00 in · $25 out / 1M tokens
$3.00 in · $15 out / 1M tokens
Context window
1M
1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.6
9.1
Agentic Ability
9.6
9.2
Speed
7.2
8.0
Value for $
7.5
8.0
Reliability
9.5
9.4

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

Verdict: Opus 4.8 or Sonnet 4.6?

Updated 2026-06-22

Choose Claude Opus 4.8 if you want hard, high-stakes coding and reasoning where quality matters more than cost. Choose Claude Sonnet 4.6 if you want the everyday agent default — strong quality without the flagship price.

In our editorial scoring, Claude Opus 4.8 leads in 3 of five dimensions (output quality, agentic ability and reliability), while Claude Sonnet 4.6 leads in 2. On price, Claude Opus 4.8 runs about $11 per 1M tokens (blended) and is proprietary; Claude Sonnet 4.6 is about $6.60 and proprietary.

Where Opus 4.8 falls short
  • Among the most expensive models per token
  • Slower than lighter models on simple tasks
Full Opus 4.8 breakdown →
Where Sonnet 4.6 falls short
  • Still steps behind Opus on the very hardest tasks
  • Pricier than open-weight models of similar quality
Full Sonnet 4.6 breakdown →

The model is half the story — the agent is the other half

The model picks the moves; the agent runs the loop, the tools, and the guardrails. Once you've chosen a model, see which agent gets the most out of it.

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