GPT-6 Astra vs Muse Wonder 1.0

As of October 21, 2026, GPT-6 Astra costs 150% more per input token than Muse Wonder 1.0 ($10.00 vs $4.00 per 1M) and has a 922K-token context window versus 1M.

Prices from LiteLLM's price fileChecked October 21, 2026

GPT-6 Astra vs Muse Wonder 1.0 side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of October 21, 2026.
	GPT-6 Astra	Muse Wonder 1.0
Input, per 1M tokens	$10.00	$4.00
Output, per 1M tokens	$50.00	$20.00
Cache read, per 1M tokens	$1.00	$0.20
Cache write, per 1M tokens	$12.50	–
Context window	922,000 tokens	1,048,576 tokens
Max output	128,000 tokens	131,072 tokens
Image input	Yes	Yes
Tool calling	Yes	Yes
Structured output (JSON)	Yes	Yes
Prompt caching	Yes	Yes
Reasoning	Yes	Yes
Providers on LiteLLM	8	1
Price shown is from	OpenAI	Meta Model API
Added to LiteLLM	September 3, 2026	October 12, 2026

Cheapest provider for each

GPT-6 Astra: OpenAI at $10.00 input and $50.00 output per 1M tokens (gpt-6-astra)
Muse Wonder 1.0: Meta Model API at $4.00 input and $20.00 output per 1M tokens (meta/muse-wonder-1.0)

Benchmark scores

From the Epoch AI Benchmarking Hub (CC BY 4.0), data as of October 12, 2026. Each model's best reported reasoning setting is shown in brackets. Higher is better. Only benchmarks with a score for both models are shown.
Benchmark	GPT-6 Astra	Muse Wonder 1.0
Math
FrontierMath (tiers 1-3)	93.7% (max)	82.1% (max)
FrontierMath (tier 4)	97.6% (high)	70.7% (max)
OTIS Mock AIME 2024-2025	100.0% (max)	99.4% (max)

When to pick which

Pick GPT-6 Astra for

Available from 8 providers through LiteLLM, vs 1.

Pick Muse Wonder 1.0 for

Costs 60% less per input token: $4.00 vs $10.00 per 1M.
Larger context window: 1,048,576 vs 922,000 tokens.

From differences in the data above only; where the data is equal, no reason is given.

Call GPT-6 Astra or Muse Wonder 1.0 with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK

from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# GPT-6 Astra
response = completion(model="gpt-6-astra", messages=messages)

# Muse Wonder 1.0
response = completion(model="meta/muse-wonder-1.0", messages=messages)

# GPT-6 Astra, falling back to Muse Wonder 1.0 if the call fails
response = completion(model="gpt-6-astra", messages=messages, fallbacks=["meta/muse-wonder-1.0"])

FAQ

Which is cheaper, GPT-6 Astra or Muse Wonder 1.0?

Muse Wonder 1.0 is cheaper at 3 input tokens per output token: $8.00 per 1M tokens blended ($4.00 input, $20.00 output), versus $20.00 ($10.00 and $50.00) for GPT-6 Astra, as of October 21, 2026.

Which has the larger context window, GPT-6 Astra or Muse Wonder 1.0?

Muse Wonder 1.0 has the larger context window: 1,048,576 tokens, versus 922,000 for GPT-6 Astra.

Can I switch from GPT-6 Astra to Muse Wonder 1.0 without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-6-astra" to "meta/muse-wonder-1.0", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.