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Llama 4 Maverick vs Qwen-Max pricing

Side-by-side LLM API pricing.Llama 4 Maverick is cheaper on input ($0.27 vs $1.60 /1M), and Llama 4 Maverick is cheaper on output ($0.85 vs $6.40 /1M). On a blended average, Llama 4 Maverick is lower — but which wins for you depends on your input/output mix, so check the example workloads below or run the calculator.

AttributeLlama 4 MaverickQwen-Max
ProviderMetaAlibaba (Qwen)
TierMid-rangeFlagship
StatusLegacyLegacy
Context window1.05M32.8K
Input /1M$0.27$1.60
Output /1M$0.85$6.40
Cached input /1M—$0.32
Batch input /1M—$0.80
Batch output /1M—$3.20
Blended (avg in+out)$0.56$4.00
1M in + 1M out$1.12$8.00
1M in (90% cached) + 100K out$0.3550$1.09

List prices, USD, directional. Rates are provider list prices per 1M tokens and are meant for comparison, not billing. Batch rates shown as 50% off are derived where a provider offers batch but does not publish a separate figure. Preview, promo, intro, peak/off-peak, long-context, and third-party-host prices are labeled where they apply. Token counts vary by tokenizer, so per-token price is not always a like-for-like cost. Always confirm with the provider before relying on a number. Prices as of 2026-08-03.

Which should you pick?

For a balanced job (1M input + 1M output), Llama 4 Maverick costs $1.12 versus $8.00. If your prompts are large and reused, prompt caching changes the maths — the cache-heavy row above shows a 90%-cached input scenario. If your work can run asynchronously, both providers' batch rates cut the bill further where offered.

Full price matrices: Llama 4 Maverick pricing → · Qwen-Max pricing → · Back to the LLM pricing hub →