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Llama 4 70B vs Qwen3 235B A22B Instruct 2507 FP8 Throughput

Llama 4 70B is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.

Llama 4 70B Qwen3 235B A22B Instruct 2507 FP8 Throughput
LabMetaQwen
AccessNot served on AllocateOpen weights
Context windown/a256K tokens
List price, inputNot served$0.2 / M tokens
List price, outputNot served$0.6 / M tokens
Cached inputn/an/a
LicenseNot listedApache 2.0
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

Choose Llama 4 70B for

  • First private fine-tunes
  • Classification and extraction
  • On-boundary deployments
Llama 4 70B details

Choose Qwen3 235B A22B Instruct 2507 FP8 Throughput for

  • Fine-tuning under a permissive license (Apache 2.0)
Qwen3 235B A22B Instruct 2507 FP8 Throughput details

Common questions

Which has the bigger context window?

Qwen3 235B A22B Instruct 2507 FP8 Throughput: 262,144 tokens (256K) against an unlisted window for Llama 4 70B.

Can I fine-tune Llama 4 70B or Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Both publish open weights (Llama 4 70B: Not listed; Qwen3 235B A22B Instruct 2507 FP8 Throughput: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Llama 4 70B vs Llama 4 Scout Instruct (17Bx16E)Qwen3 235B A22B Instruct 2507 FP8 Throughput vs Llama 4 Scout Instruct (17Bx16E)Qwen3 235B A22B Instruct 2507 FP8 Throughput vs Qwen3-VL-8B-InstructLlama 4 70B vs Meta Llama 3.3 70B Instruct TurboQwen3 235B A22B Instruct 2507 FP8 Throughput vs Meta Llama 3.3 70B Instruct TurboLlama 4 70B vs Qwen3.5 397B A17b

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 70BQwen3 235B A22B Instruct 2507 FP8 Throughput

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.

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