Llama 4 Maverick 17B 128E vs GLM OCR

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

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Llama 4 Maverick 17B 128E has the larger sourced context window. Llama 4 Maverick 17B 128E supports 1,000K and GLM OCR supports 131K.

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 is open weight; GLM OCR is open weight.

Llama 4 Maverick 17B 128E is documented with image input; GLM OCR is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E is — and GLM OCR is —.

Llama 4 Maverick 17B 128E: tool calling and image input. GLM OCR: tool calling and image input. Feature support does not establish relative quality.

Llama 4 Maverick 17B 128E has 0 sourced provider routes; GLM OCR has 1, so GLM OCR 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.