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Comparison · 2 models · Updated Oct 4, 2026

Qwen2.5-Coder-32B-Instruct vs Llama-3.2-1B

Llama-3.2-1B comes out ahead, 55 to 45 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen2.5-Coder-32B-Instruct

    Released Nov 12, 2024

    45/100
    • ECI—
    • Price$0.43 / $0.60
    • Context131K
    Full specs Remove Qwen2.5-Coder-32B-Instruct
  2. Our pick

    Meta

    Llama-3.2-1B

    Released Sep 25, 2024

    55/100
    • ECI102.0
    • Price$0.064 / $0.15
    • Context131K
    Full specs Remove Llama-3.2-1B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama-3.2-1B is our pick

Llama-3.2-1B is the better all-round choice, scoring 55/100 against Qwen2.5-Coder-32B-Instruct (45). It leads on price. Qwen2.5-Coder-32B-Instruct wins on 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 priceLlama-3.2-1BLlama-3.2-1B $0.085 · Qwen2.5-Coder-32B-Instruct $0.473 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen2.5-Coder-32B-Instruct 131,072 · Llama-3.2-1B 131,072 tokens
  • Widest inputsSame inputsQwen2.5-Coder-32B-Instruct: Text · Llama-3.2-1B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen2.5-Coder-32B-InstructLlama-3.2-1B
Price50%65100
Inputs & features30%250
Context window20%2424
Overall100%45/10055/100

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.

Qwen2.5-Coder-32B-Instruct vs Llama-3.2-1B specifications side by side
SpecificationQwen2.5-Coder-32B-InstructAlibaba (Qwen)Llama-3.2-1BMeta
Capability
Capabilities Index (ECI)—102.0
ECI rank—#147 of 148
GPQA DiamondGraduate-level science questions—23.9%
OTIS Mock AIME 2024–2025Competition mathematics—0.6%
Price per million tokens
Input$0.43$0.064 (best)
Output$0.60$0.15 (best)
Cached input——
Blended (3:1)$0.473$0.085 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 4 providersMedian of 2 providers
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenOpenLlama 3.2 Community License
API model ID——
API providers4 (best)2
ReleasedNov 12, 2024Sep 25, 2024
Knowledge cutoff—Dec 2023
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.

  • Qwen2.5-Coder-32B-Instruct$5.50
  • Llama-3.2-1B$0.936
04 — Questions

Which should you choose?

Which is better: Qwen2.5-Coder-32B-Instruct or Llama-3.2-1B?

Llama-3.2-1B is the better all-round choice, scoring 55/100 against Qwen2.5-Coder-32B-Instruct (45). It leads on price. Qwen2.5-Coder-32B-Instruct wins on 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, Qwen2.5-Coder-32B-Instruct or Llama-3.2-1B?

Llama-3.2-1B is cheaper at $0.064 input / $0.15 output per million tokens (median across 2 API providers). Qwen2.5-Coder-32B-Instruct costs $0.43 input / $0.60 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.085 per million tokens for Llama-3.2-1B versus $0.473 for Qwen2.5-Coder-32B-Instruct (5.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen2.5-Coder-32B-Instruct has not been scored yet and Llama-3.2-1B has an ECI of 102.0.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen2.5-Coder-32B-Instruct and Llama-3.2-1B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Llama-3.2-1B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen2.5-Coder-32B-Instruct and Llama-3.2-1B share the same 131,072-token context window. Maximum output per response: Qwen2.5-Coder-32B-Instruct up to 8,192, Llama-3.2-1B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Qwen2.5-Coder-32B-Instruct accepts text; Llama-3.2-1B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Llama 3.2 Community License), so you can self-host them.

Which is newer?

Qwen2.5-Coder-32B-Instruct is the newest, released Nov 12, 2024. Llama-3.2-1B came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-1B Dec 2023.

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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