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Comparison · 2 models · Updated Nov 2, 2026

DeepSeek R1 0528 Qwen3 8B vs Baichuan M2 32B

Too close to call on our weighted score (DeepSeek R1 0528 Qwen3 8B 58, Baichuan M2 32B 58). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek R1 0528 Qwen3 8B

    Released May 29, 2025

    58/100
    • ECI—
    • Price$0.06 / $0.09
    • Context131K
  2. Baichuan

    Baichuan M2 32B

    Released Aug 13, 2025

    58/100
    • ECI—
    • Price$0.07 / $0.07
    • Context131K
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    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (DeepSeek R1 0528 Qwen3 8B 58/100, Baichuan M2 32B 58/100), so choose by what matters most for your work: DeepSeek R1 0528 Qwen3 8B 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 priceDeepSeek R1 0528 Qwen3 8BDeepSeek R1 0528 Qwen3 8B $0.068 · Baichuan M2 32B $0.07 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameDeepSeek R1 0528 Qwen3 8B 131,072 · Baichuan M2 32B 131,072 tokens
  • Widest inputsSame inputsDeepSeek R1 0528 Qwen3 8B: Text · Baichuan M2 32B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek R1 0528 Qwen3 8BBaichuan M2 32B
Price50%100100
Inputs & features30%1010
Context window20%2525
Overall100%58/10058/100

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.

DeepSeek R1 0528 Qwen3 8B vs Baichuan M2 32B specifications side by side
SpecificationDeepSeek R1 0528 Qwen3 8BDeepSeekBaichuan M2 32BBaichuan
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions9.3%—
OTIS Mock AIME 2024–2025Competition mathematics43.9%—
Price per million tokens
Input$0.06 (best)$0.07
Output$0.09$0.07 (best)
Cached input——
Blended (3:1)$0.068 (best)$0.07
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 1 providers
Limits
Context window131,072 tokens131,072 tokens
Max output32,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingNoNo
Structured outputNoNo
Availability
WeightsOpenMITOpenApache-2.0
API model ID——
API providers11
ReleasedMay 29, 2025Aug 13, 2025
Knowledge cutoff——
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.

  • DeepSeek R1 0528 Qwen3 8B$0.78
  • Baichuan M2 32B$0.84
04 — Questions

Which should you choose?

Which is better: DeepSeek R1 0528 Qwen3 8B or Baichuan M2 32B?

It is close. Our weighted score puts them within a point (DeepSeek R1 0528 Qwen3 8B 58/100, Baichuan M2 32B 58/100), so choose by what matters most for your work: DeepSeek R1 0528 Qwen3 8B 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, DeepSeek R1 0528 Qwen3 8B or Baichuan M2 32B?

DeepSeek R1 0528 Qwen3 8B is cheaper at $0.06 input / $0.09 output per million tokens (median across 1 API provider). Baichuan M2 32B costs $0.07 input / $0.07 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.068 per million tokens for DeepSeek R1 0528 Qwen3 8B versus $0.07 for Baichuan M2 32B (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. DeepSeek R1 0528 Qwen3 8B has not been scored yet and Baichuan M2 32B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek R1 0528 Qwen3 8B and Baichuan M2 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek R1 0528 Qwen3 8B and Baichuan M2 32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

DeepSeek R1 0528 Qwen3 8B and Baichuan M2 32B share the same 131,072-token context window. Maximum output per response: DeepSeek R1 0528 Qwen3 8B up to 32,000, Baichuan M2 32B up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek R1 0528 Qwen3 8B accepts text; Baichuan M2 32B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (MIT and Apache-2.0), so you can self-host them.

Which is newer?

Baichuan M2 32B is the newest, released Aug 13, 2025. DeepSeek R1 0528 Qwen3 8B came out May 29, 2025.

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 Nov 2, 2026.