OpenAI compatible API · Attested · Public status

Muse Glimmer 30B on Fireworks vs Qwen3 235B A22B Instruct 2507

Muse Glimmer 30B on Fireworks vs Qwen3 235B A22B Instruct 2507: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.

Verify gateway
Onebase URL to migrate
100sof models and routes
0prompt or output logs. Always.
Compare routesProviders, price, context, and policy posture in one view.
Use auto when uptime mattersKeep a primary model and let fallback handle provider failures.
Same API shapeUse the OpenAI client and set the model you want.

Practical read

Monthly evidence

Qwen3 235B A22B Instruct 2507 has the lower cheapest prompt+completion route on TrustedRouter. Qwen3 235B A22B Instruct 2507 has more provider fallback routes, while Muse Glimmer 30B on Fireworks has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

$1.5825/1MMuse Glimmer 30B on Fireworks cheapest route
$0.6752/1MQwen3 235B A22B Instruct 2507 cheapest route
not enough dataMuse Glimmer 30B on Fireworks fastest measured p50 TTFT
2924 msQwen3 235B A22B Instruct 2507 fastest measured p50 TTFT via scaleway

Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.

Muse Glimmer 30B on FireworksQwen3 235B A22B Instruct 2507
Model idmeta-models/muse-glimmer-30bqwen/qwen3-235b-a22b-instruct-2507
AI IQ
Context131,072 tokens131,072 tokens
Credits provider routes36
Cheapest route$1.5825/1M$0.6752/1M
Cached input$0.0422/1M$0.024265/1M
Privacy posturehas ZDR routeprovider posture varies
Fastest measured p50 TTFTnot enough data2924 ms via scaleway
Highest measured throughputnot enough datanot enough data
Recent route uptime rangenot enough data100.00%
Modes chat chat

Muse Glimmer 30B on Fireworks routes

Qwen3 235B A22B Instruct 2507 routes

Related comparisons

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Production choice

Pick a default model. Keep fallback enabled.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

OpenAI clientPython
client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key="sk-tr-v1-..."
)

response = client.chat.completions.create(
    model="meta-models/muse-glimmer-30b",
    messages=messages,
)

Questions

Which should I use, Muse Glimmer 30B on Fireworks or Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507 has the lower cheapest prompt+completion route on TrustedRouter. Qwen3 235B A22B Instruct 2507 has more provider fallback routes, while Muse Glimmer 30B on Fireworks has the larger context window. Probe-backed speed data is shown when enough recent samples exist.

Is Muse Glimmer 30B on Fireworks or Qwen3 235B A22B Instruct 2507 cheaper?

The current cheapest TrustedRouter route is $1.5825/1M for Muse Glimmer 30B on Fireworks and $0.6752/1M for Qwen3 235B A22B Instruct 2507. The comparison uses current catalog prices and updates as provider pricing changes.

Is Muse Glimmer 30B on Fireworks or Qwen3 235B A22B Instruct 2507 faster?

Current measured p50 time to first token is not enough data for Muse Glimmer 30B on Fireworks and 2924 ms for Qwen3 235B A22B Instruct 2507. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Muse Glimmer 30B on Fireworks and Qwen3 235B A22B Instruct 2507 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between meta-models/muse-glimmer-30b and qwen/qwen3-235b-a22b-instruct-2507. This makes side-by-side evals possible without maintaining two provider integrations.

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