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Comparison · 2 models · Updated Oct 4, 2026

Llama 3.1 Nemotron 70B Instruct vs Qwen Flash

Qwen Flash comes out ahead, 68 to 45 on our weighted score, and it is the cheaper option too.

  1. NVIDIA

    Llama 3.1 Nemotron 70B Instruct

    Released Apr 15, 2025

    45/100
    • ECI—
    • Price$0.478 / $0.504
    • Context128K
  2. Our pick

    Alibaba (Qwen)

    Qwen Flash

    Released Jul 28, 2025

    68/100
    • ECI—
    • Price$0.05 / $0.40
    • Context1M
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen Flash is our pick

Qwen Flash is the better all-round choice, scoring 68/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price, inputs & features and context window. 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 FlashQwen Flash $0.138 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
  • Longest contextQwen FlashQwen Flash 1,000,000 · Llama 3.1 Nemotron 70B Instruct 128,000 tokens
  • Widest inputsSame inputsLlama 3.1 Nemotron 70B Instruct: Text · Qwen Flash: Text
  • Self-hostingLlama 3.1 Nemotron 70B InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama 3.1 Nemotron 70B InstructQwen Flash
Price50%6591
Inputs & features30%2535
Context window20%2460
Overall100%45/10068/100

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 Flash specifications side by side
SpecificationLlama 3.1 Nemotron 70B InstructNVIDIAQwen FlashAlibaba (Qwen)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.478$0.05 (best)
Output$0.504$0.40 (best)
Cached input——
Blended (3:1)$0.485$0.138 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Alibaba API
Limits
Context window128,000 tokens1,000,000 tokens (best)
Max output8,192 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDnvidia/llama-3.1-nemotron-70b-instructqwen-flash
API providers36 (best)
ReleasedApr 15, 2025Jul 28, 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 Flash$1.30
04 — Questions

Which should you choose?

Which is better: Llama 3.1 Nemotron 70B Instruct or Qwen Flash?

Qwen Flash is the better all-round choice, scoring 68/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price, inputs & features and context window. 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 Flash?

Qwen Flash is cheaper at $0.05 input / $0.40 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 $0.138 per million tokens for Qwen Flash versus $0.485 for Llama 3.1 Nemotron 70B Instruct (3.5× 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 Flash 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 Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen Flash has the largest context window at 1,000,000 tokens, against 128,000 for Llama 3.1 Nemotron 70B Instruct. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, Qwen Flash up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Llama 3.1 Nemotron 70B Instruct accepts text; Qwen Flash 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 Flash is proprietary.

Which is newer?

Qwen Flash is the newest, released Jul 28, 2025. Llama 3.1 Nemotron 70B Instruct came out Apr 15, 2025. Knowledge cutoff: Qwen Flash 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.