Llama 4 Maverick 17B 128E Instruct vs Phi-4 Reasoning

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E Instruct and Phi-4 Reasoning, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only Llama 4 Maverick 17B 128E Instruct has a directly sourced input price: $0.20 per million tokens. Only Llama 4 Maverick 17B 128E Instruct has a directly sourced output price: $0.696 per million tokens.

Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and Phi-4 Reasoning supports 33K.

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. Llama 4 Maverick 17B 128E Instruct is open weight; Phi-4 Reasoning is open weight.

Llama 4 Maverick 17B 128E Instruct is documented with image input; Phi-4 Reasoning is not documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and Phi-4 Reasoning is —.

Llama 4 Maverick 17B 128E Instruct: tool calling and image input. Phi-4 Reasoning: reasoning. Feature support does not establish relative quality.

Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; Phi-4 Reasoning has 0, so Llama 4 Maverick 17B 128E Instruct 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.