Allocate
ModelsSign inTalk to sales
Comparisons

Meta Llama 3.3 70B Instruct Turbo vs MiniMax M3

On provider list prices, MiniMax M3 costs $0.30 per million input tokens against $1.04 for Meta Llama 3.3 70B Instruct Turbo: 3.5x apart. Output is $1.20 against $1.04. On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.3 70B Instruct TurboM MiniMax M3
LabMetaMiniMaxAI
AccessOpen weightsAPI only
Context window128K tokens512K tokens
List price, input$1.04 / M tokens$0.3 / M tokens
List price, output$1.04 / M tokens$1.2 / M tokens
Cached inputn/a$0.06 / 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 $780 a month on MiniMax M3 and $1,612 on Meta Llama 3.3 70B Instruct Turbo at list: a gap of $832, or 2.1x.

MiniMax M3 reads 512K tokens per request against 128K for Meta Llama 3.3 70B Instruct Turbo, 4.0x the window. That decides which one can take whole documents without splitting them.

MiniMax M3$0.30$1.20
Meta Llama 3.3 70B Instruct Turbo$1.04$1.04
InputOutput

Choose Meta Llama 3.3 70B Instruct Turbo for

  • Open weights you can fine-tune and own
Meta Llama 3.3 70B Instruct Turbo details

Choose MiniMax M3 for

  • The lower list price ($0.30 in / $1.20 out per M tokens)
  • The longer context window (512K vs 128K tokens)
  • Published cached-input pricing ($0.06 per M tokens)
MiniMax M3 details

Common questions

Which is cheaper, Meta Llama 3.3 70B Instruct Turbo or MiniMax M3?

MiniMax M3, on this workload shape. At list prices it is $0.30/$1.20 per million tokens in and out against $1.04/$1.04 for Meta Llama 3.3 70B Instruct Turbo. Billed on Allocate: $0.32/$1.28 against $1.11/$1.11, list plus 7%.

Which has the bigger context window?

MiniMax M3: 524,288 tokens (512K) against 131,072 (128K) for Meta Llama 3.3 70B Instruct Turbo.

Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or MiniMax M3?

Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) and can be fine-tuned on your own data. MiniMax M3 is a closed model served over API; its weights are not available.

Related comparisons

MiniMax M3 vs MiniMax M2.7 FP4Meta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)MiniMax M3 vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.3 70B Instruct Turbo vs Meta Llama 3.1 405B InstructMiniMax M3 vs Meta Llama 3.1 405B InstructMeta Llama 3.3 70B Instruct Turbo vs Qwen3-VL-32B-Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3.3 70B Instruct TurboMiniMax M3

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.

Route both modelsTalk to sales