Which is cheaper, Gemini 3.8 Flash and Muse Spark 1.2?

Gemini 3.8 Flash has the lowest input price. Per 1M input tokens: Gemini 3.8 Flash from $0.75 and Muse Spark 1.2 from $1.25.

Which is better for coding, Gemini 3.8 Flash and Muse Spark 1.2?

Gemini 3.8 Flash scores highest on the Artificial Analysis Coding Index: Gemini 3.8 Flash 76.3 and Muse Spark 1.2 72.2.

Can I switch between Gemini 3.8 Flash and Muse Spark 1.2 without changing my code?

Yes. All of them are served through FastRouter's OpenAI-compatible API, so switching is a change of the model parameter (google/gemini-3.8-flash, meta/muse-spark-1.2).

Gemini 3.8 Flash vs Muse Spark 1.2

Side-by-side pricing per provider, context window, benchmark scores and speed, all on one OpenAI-compatible API.

Gemini 3.8 Flash Googlegoogle/gemini-3.8-flash

Muse Spark 1.2 Metameta/muse-spark-1.2

Creator

Google

Gemini 3.8 Flash vs Muse Spark 1.2: summary

Gemini 3.8 Flash and Muse Spark 1.2 are both available through FastRouter's OpenAI-compatible API, so switching between them is a change of model id, not a new integration.

Gemini 3.8 Flash, from Google, has a 1,048,576-token context window, costs from $0.75/1M input and $3.75/1M output tokens across 2 providers and scores 40.9 on the Artificial Analysis Intelligence Index.

Muse Spark 1.2, from Meta, has a 1,048,576-token context window, costs $1.25/1M input and $4.25/1M output tokens and scores 39.6 on the Artificial Analysis Intelligence Index.

Gemini 3.8 Flash is the cheapest on input, 1.7× cheaper than the next model, Gemini 3.8 Flash scores highest for intelligence and Gemini 3.8 Flash leads on coding.

Switch with one line

client = OpenAI(base_url="https://api.fastrouter.ai/api/v1", api_key="<FASTROUTER_API_KEY>") client.chat.completions.create(model="google/gemini-3.8-flash", messages=[...]) # or client.chat.completions.create(model="meta/muse-spark-1.2", messages=[...])

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Benchmark scores sourced from ArtificialAnalysis