Standard Compute
Model comparison 2026

Claude Haiku 5.5 vs Muse Wonder

Claude Haiku 5.5
Anthropic · Budget · Proprietary
$0.22/1M · 1M ctx
Muse Wonder
Meta · Frontier · Proprietary
$8.80/1M · 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
Muse Wonder
Maker
Anthropic
Meta
Blended price / 1M
$0.22
$8.80
Input / output
$0.10 in · $0.50 out / 1M tokens
$4.00 in · $20 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
9.0
Speed
9.5
8.0
Value for money
8.4
5.4
Reliability
9.2
9.0

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

Verdict: Haiku 5.5 or Muse Wonder?

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 Muse Wonder if you want multimodal agent work where you want a frontier model outside the usual three vendors.

In our editorial scoring, Claude Haiku 5.5 leads in 3 of five dimensions (speed, value for money and reliability), while Muse Wonder leads in 2. On price, Claude Haiku 5.5 runs about $0.22 per 1M tokens (blended) and is proprietary; Muse Wonder is about $8.80 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 Muse Wonder falls short
  • Same price as Claude Opus 5.5 ($4/$20) but lower on Artificial Analysis and Terminal-Bench 4.0
  • Closed weights, unlike Meta's Llama models
Full Muse Wonder breakdown →

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