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Meta Llama 3.3 70B Instruct Turbo vs Qwen3.7 Max

On provider list prices, Meta Llama 3.3 70B Instruct Turbo costs $1.04 per million input tokens against $1.25 for Qwen3.7 Max: 1.2x apart. Output is $1.04 against $3.75 (3.6x). On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.3 70B Instruct Turbo Qwen3.7 Max
LabMetaQwen
AccessOpen weightsAPI only
Context window128K tokens1M tokens
List price, input$1.04 / M tokens$1.25 / M tokens
List price, output$1.04 / M tokens$3.75 / M tokens
Cached inputn/a$0.125 / M tokens
LicenseLlama communityProprietary API
Fine-tunableYesNo

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 $1,612 a month on Meta Llama 3.3 70B Instruct Turbo and $2,813 on Qwen3.7 Max at list: a gap of $1,201, or 1.7x.

Qwen3.7 Max reads 1M tokens per request against 128K for Meta Llama 3.3 70B Instruct Turbo, 7.6x the window. That decides which one can take whole documents without splitting them.

Meta Llama 3.3 70B Instruct Turbo$1.04$1.04
Qwen3.7 Max$1.25$3.75
InputOutput

Choose Meta Llama 3.3 70B Instruct Turbo for

  • The lower list price ($1.04 in / $1.04 out per M tokens)
  • Open weights you can fine-tune and own
Meta Llama 3.3 70B Instruct Turbo details

Choose Qwen3.7 Max for

  • The longer context window (1M vs 128K tokens)
  • Published cached-input pricing ($0.13 per M tokens)
Qwen3.7 Max details

Common questions

Which is cheaper, Meta Llama 3.3 70B Instruct Turbo or Qwen3.7 Max?

Meta Llama 3.3 70B Instruct Turbo, on this workload shape. At list prices it is $1.04/$1.04 per million tokens in and out against $1.25/$3.75 for Qwen3.7 Max. Billed on Allocate: $1.11/$1.11 against $1.34/$4.01, list plus 7%.

Which has the bigger context window?

Qwen3.7 Max: 1,000,000 tokens (1M) against 131,072 (128K) for Meta Llama 3.3 70B Instruct Turbo.

Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or Qwen3.7 Max?

Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) and can be fine-tuned on your own data. Qwen3.7 Max is a closed model served over API; its weights are not available.

Related comparisons

Meta Llama 3.3 70B Instruct Turbo vs Qwen3.5 397B A17bQwen3.7 Max vs Qwen3.5 397B A17bMeta Llama 3.3 70B Instruct Turbo vs Qwen3-VL-32B-InstructMeta Llama 3.3 70B Instruct Turbo vs Qwen3 235B A22B Instruct 2507 FP8 ThroughputQwen3.7 Max vs Qwen3 235B A22B Instruct 2507 FP8 ThroughputMeta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3.3 70B Instruct TurboQwen3.7 Max

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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