MolmoAct 2 vs DeepSeek R1

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and DeepSeek R1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.

Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and DeepSeek R1 is 164K.

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Both models have the same recorded self-hosting status: supported. MolmoAct 2 is open weight; DeepSeek R1 is open weight.

MolmoAct 2 is documented with image input; DeepSeek R1 is not documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. MolmoAct 2 is — and DeepSeek R1 is 33K.

MolmoAct 2: reasoning and image input. DeepSeek R1: reasoning. Feature support does not establish relative quality.

MolmoAct 2 has 0 sourced provider routes; DeepSeek R1 has 2, so DeepSeek R1 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.