Model comparison 2026

DeepSeek V4 Flash vs Muse Wonder

DeepSeek V4 Flash
DeepSeek · Budget · Open weights
$0.12/1M · 1.0M 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
DeepSeek V4 Flash
Muse Wonder
Maker
DeepSeek
Meta
Blended price / 1M
$0.12
$8.80
Input / output
$0.09 in · $0.18 out / 1M tokens
$4.00 in · $20 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.7
9.3
Agentic Ability
7.1
9.0
Speed
9.1
8.0
Value for money
9.4
5.4
Reliability
8.7
9.0

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

Verdict: DeepSeek V4 Flash or Muse Wonder?

Updated 2026-10-13

Choose DeepSeek V4 Flash if you want existing setups that still call the deepseek-v4-flash name. Choose Muse Wonder if you want multimodal agent work where you want a frontier model outside the usual three vendors.

In our editorial scoring, Muse Wonder leads in 3 of five dimensions (output quality, agentic ability and reliability), while DeepSeek V4 Flash leads in 2. On price, DeepSeek V4 Flash runs about $0.12 per 1M tokens (blended) and is open-weight; Muse Wonder is about $8.80 and proprietary.

Where DeepSeek V4 Flash falls short
  • Retired as a DeepSeek API name; calls run V4.1 Flash instead
  • Third-party hosts of the original weights vary in price and speed
Full DeepSeek V4 Flash 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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