Muse Spark 1.3 vs GPT-5.2

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.3 and GPT-5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only GPT-5.2 has a directly sourced input price: $1.75 per million tokens. Only GPT-5.2 has a directly sourced output price: $14.00 per million tokens.

Neither model has a larger sourced context window in this comparison. Muse Spark 1.3 is — and GPT-5.2 is 400K.

Muse Spark 1.3 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.3 is not marked open weight; GPT-5.2 is not marked open weight.

Muse Spark 1.3 is documented with image input; GPT-5.2 is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Muse Spark 1.3 is — and GPT-5.2 is 128K.

Muse Spark 1.3: reasoning, tool calling, and image input. GPT-5.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Muse Spark 1.3 has 0 sourced provider routes; GPT-5.2 has 2, so GPT-5.2 has broader tracked availability.

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.