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Comparisons

Meta Llama 3 70B Instruct Turbo vs Qwen2 72B Instruct

On provider list prices, Meta Llama 3 70B Instruct Turbo costs $0.88 per million input tokens against $0.90 for Qwen2 72B Instruct: effectively level. Output is $0.88 against $0.90. On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3 70B Instruct Turbo Qwen2 72B Instruct
LabMetaTogethercomputer
AccessOpen weightsOpen weights
Context window8K tokens32K tokens
List price, input$0.88 / M tokens$0.9 / M tokens
List price, output$0.88 / M tokens$0.9 / M tokens
Cached inputn/an/a
LicenseLlama communityQwen license
Fine-tunableYesYes

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

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,364 a month on Meta Llama 3 70B Instruct Turbo and $1,395 on Qwen2 72B Instruct at list: a gap of $31.

Qwen2 72B Instruct reads 32K tokens per request against 8K for Meta Llama 3 70B Instruct Turbo, 4.0x the window. That decides which one can take whole documents without splitting them.

Meta Llama 3 70B Instruct Turbo$0.88$0.88
Qwen2 72B Instruct$0.90$0.90
InputOutput

Choose Meta Llama 3 70B Instruct Turbo for

  • The lower list price ($0.88 in / $0.88 out per M tokens)
Meta Llama 3 70B Instruct Turbo details

Choose Qwen2 72B Instruct for

  • The longer context window (32K vs 8K tokens)
Qwen2 72B Instruct details

Common questions

Which is cheaper, Meta Llama 3 70B Instruct Turbo or Qwen2 72B Instruct?

Meta Llama 3 70B Instruct Turbo, on this workload shape. At list prices it is $0.88/$0.88 per million tokens in and out against $0.90/$0.90 for Qwen2 72B Instruct. Billed on Allocate: $0.94/$0.94 against $0.96/$0.96, list plus 7%.

Which has the bigger context window?

Qwen2 72B Instruct: 32,768 tokens (32K) against 8,192 (8K) for Meta Llama 3 70B Instruct Turbo.

Can I fine-tune Meta Llama 3 70B Instruct Turbo or Qwen2 72B Instruct?

Both publish open weights (Meta Llama 3 70B Instruct Turbo: Llama community; Qwen2 72B Instruct: Qwen license), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Meta Llama 3 70B Instruct Turbo vs Meta Llama 3.1 70B Instruct TurboQwen2 72B Instruct vs Meta Llama 3.1 70B Instruct TurboMeta Llama 3 70B Instruct Turbo vs Llama 3.1 Nemotron 70B Instruct HFQwen2 72B Instruct vs Qwen3-VL-32B-Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3 70B Instruct TurboQwen2 72B Instruct

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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