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Comparison · 2 models · Updated Oct 4, 2026

Nemotron VoiceChat vs Qwen2.5 32B Instruct

Nemotron VoiceChat comes out ahead, 65 to 35 on our weighted score, and it is the cheaper option too.

  1. Our pick

    NVIDIA

    Nemotron VoiceChat

    Released Mar 16, 2026

    65/100
    • ECI—
    • PriceFree / Free
    • Context128K
    Full specs Remove Nemotron VoiceChat

  2. Alibaba (Qwen)

    Qwen2.5 32B Instruct

    Released Sep 17, 2024

    35/100
    • ECI128.5
    • Price$0.70 / $2.80
    • Context131K
    Full specs Remove Qwen2.5 32B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Nemotron VoiceChat is our pick

Nemotron VoiceChat is the better all-round choice, scoring 65/100 against Qwen2.5 32B Instruct (35). It leads on price and inputs & features. 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 priceNemotron VoiceChatNemotron VoiceChat Free · Qwen2.5 32B Instruct $1.23 per 1M tokens (3:1 blend)
  • Longest contextQwen2.5 32B InstructQwen2.5 32B Instruct 131,072 · Nemotron VoiceChat 128,000 tokens
  • Widest inputsNemotron VoiceChatNemotron VoiceChat: Text, Audio · Qwen2.5 32B Instruct: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightNemotron VoiceChatQwen2.5 32B Instruct
Price50%10046
Inputs & features30%3525
Context window20%2424
Overall100%65/10035/100

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.

Nemotron VoiceChat vs Qwen2.5 32B Instruct specifications side by side
SpecificationNemotron VoiceChatNVIDIAQwen2.5 32B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)—128.5
ECI rank—#131 of 148
GPQA DiamondGraduate-level science questions—46.1%
OTIS Mock AIME 2024–2025Competition mathematics—7.4%
Price per million tokens
InputFree (best)$0.70
OutputFree (best)$2.80
Cached input——
Blended (3:1)Free (best)$1.23
Long-context rateSame rateSame rate
Price sourceOfficial Nvidia APIOfficial Alibaba API
Limits
Context window128,000 tokens131,072 tokens (best)
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioYesNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDnvidia/nemotron-voicechatqwen2-5-32b-instruct
API providers11
ReleasedMar 16, 2026Sep 17, 2024
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.

  • Nemotron VoiceChatFree
  • Qwen2.5 32B Instruct$12.60
04 — Questions

Which should you choose?

Which is better: Nemotron VoiceChat or Qwen2.5 32B Instruct?

Nemotron VoiceChat is the better all-round choice, scoring 65/100 against Qwen2.5 32B Instruct (35). It leads on price and inputs & features. 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, Nemotron VoiceChat or Qwen2.5 32B Instruct?

Nemotron VoiceChat is cheaper at Free input / Free output per million tokens (official Nvidia API price). Qwen2.5 32B Instruct costs $0.70 input / $2.80 output per million tokens (official Alibaba API price). Nemotron VoiceChat is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron VoiceChat has not been scored yet and Qwen2.5 32B Instruct has an ECI of 128.5.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron VoiceChat and Qwen2.5 32B Instruct 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?

Qwen2.5 32B Instruct has the largest context window at 131,072 tokens, against 128,000 for Nemotron VoiceChat. Maximum output per response: Nemotron VoiceChat up to 8,192, Qwen2.5 32B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Nemotron VoiceChat accepts text and audio; Qwen2.5 32B Instruct accepts text. Nemotron VoiceChat handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Nemotron VoiceChat is the newest, released Mar 16, 2026. Qwen2.5 32B Instruct came out Sep 17, 2024. Knowledge cutoff: Qwen2.5 32B Instruct 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

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