Standard Compute
Model comparison 2026

GPT-6 Sol vs Muse Spark Open

GPT-6 Sol
OpenAI · Balanced · Proprietary
$4.40/1M · 1.1M ctx
Muse Spark Open
Meta · Balanced · Open weights
$2.15/1M · 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
GPT-6 Sol
Muse Spark Open
Maker
OpenAI
Meta
Blended price / 1M
$4.40
$2.15
Input / output
$2.00 in · $10 out / 1M tokens
$1.25 in · $4.25 out / 1M tokens
Context window
1.1M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.7
7.0
Agentic Ability
8.8
5.0
Speed
8.2
7.0
Value for Money
5.6
5.3
Reliability
9.2
8.0

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

Verdict: GPT-6 Sol or Muse Spark Open?

Updated 2026-10-16

Choose GPT-6 Sol if you want existing GPT-6 Sol setups and calls that need no-reasoning mode. Choose Muse Spark Open if you want trying Meta's open-weight coding model through OpenRouter, or self-hosting it where code must stay on your own hardware.

In our editorial scoring, GPT-6 Sol leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Muse Spark Open leads in 0. On price, GPT-6 Sol runs about $4.40 per 1M tokens (blended) and is proprietary; Muse Spark Open is about $2.15 and open-weight.

Where GPT-6 Sol falls short
  • Superseded by GPT-6.1 Sol, which scores higher at the same list price
  • Cached input costs $0.20 per million, twice GPT-6.1 Sol, so it costs more per request
Full GPT-6 Sol breakdown →
Where Muse Spark Open falls short
  • No independent agent benchmark results yet; the published figures are Meta's own
  • Self-hosting needs at least 700 GB of GPU memory in NVFP4 (2 TB in BF16), per Meta's model card
Full Muse Spark Open breakdown →

The agent matters as much as the model. Compare AI agents →

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