ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Llama 3.1 Nemotron 70B Instruct vs Qwen-MT Turbo

Llama 3.1 Nemotron 70B Instruct comes out ahead, 45 to 40 on our weighted score, though Qwen-MT Turbo is 2× cheaper per token.

  1. Our pick

    NVIDIA

    Llama 3.1 Nemotron 70B Instruct

    Released Apr 15, 2025

    45/100
    • ECI—
    • Price$0.478 / $0.504
    • Context128K
    Full specs Remove Llama 3.1 Nemotron 70B Instruct

  2. Alibaba (Qwen)

    Qwen-MT Turbo

    Released Jan 2025

    40/100
    • ECI—
    • Price$0.16 / $0.49
    • Context16K
    Full specs Remove Qwen-MT Turbo

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama 3.1 Nemotron 70B Instruct is our pick

Llama 3.1 Nemotron 70B Instruct is the better all-round choice, scoring 45/100 against Qwen-MT Turbo (40). It leads on inputs & features and context window. Qwen-MT Turbo wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceQwen-MT TurboQwen-MT Turbo $0.242 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
  • Longest contextLlama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct 128,000 · Qwen-MT Turbo 16,384 tokens
  • Widest inputsSame inputsLlama 3.1 Nemotron 70B Instruct: Text · Qwen-MT Turbo: Text
  • Self-hostingLlama 3.1 Nemotron 70B InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama 3.1 Nemotron 70B InstructQwen-MT Turbo
Price50%6579
Inputs & features30%250
Context window20%240
Overall100%45/10040/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Llama 3.1 Nemotron 70B Instruct vs Qwen-MT Turbo specifications side by side
SpecificationLlama 3.1 Nemotron 70B InstructNVIDIAQwen-MT TurboAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.478$0.16 (best)
Output$0.504$0.49 (best)
Cached input——
Blended (3:1)$0.485$0.242 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba API
Limits
Context window128,000 tokens (best)16,384 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDnvidia/llama-3.1-nemotron-70b-instructqwen-mt-turbo
API providers3 (best)1
ReleasedApr 15, 2025Jan 2025
Knowledge cutoff—Apr 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Llama 3.1 Nemotron 70B Instruct$5.79
  • Qwen-MT Turbo$2.58
04 — Questions

Which should you choose?

Which is better: Llama 3.1 Nemotron 70B Instruct or Qwen-MT Turbo?

Llama 3.1 Nemotron 70B Instruct is the better all-round choice, scoring 45/100 against Qwen-MT Turbo (40). It leads on inputs & features and context window. Qwen-MT Turbo wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Llama 3.1 Nemotron 70B Instruct or Qwen-MT Turbo?

Qwen-MT Turbo is cheaper at $0.16 input / $0.49 output per million tokens (official Alibaba API price). Llama 3.1 Nemotron 70B Instruct costs $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.242 per million tokens for Qwen-MT Turbo versus $0.485 for Llama 3.1 Nemotron 70B Instruct (2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron 70B Instruct has not been scored yet and Qwen-MT Turbo has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 3.1 Nemotron 70B Instruct and Qwen-MT Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Turbo does not support tool calling, which most coding agents need.

Which has the bigger context window?

Llama 3.1 Nemotron 70B Instruct has the largest context window at 128,000 tokens, against 16,384 for Qwen-MT Turbo. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, Qwen-MT Turbo up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama 3.1 Nemotron 70B Instruct accepts text; Qwen-MT Turbo accepts text. They handle the same number of input types.

Are any of these open source?

Llama 3.1 Nemotron 70B Instruct publishes its weights and can be self-hosted; Qwen-MT Turbo is proprietary.

Which is newer?

Llama 3.1 Nemotron 70B Instruct is the newest, released Apr 15, 2025. Qwen-MT Turbo came out Jan 2025. Knowledge cutoff: Qwen-MT Turbo Apr 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

Related comparisons