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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Plus vs DeepSeek OCR 2 vs MiniMax-M3

Too close to call on our weighted score (MiniMax-M3 65, Qwen3.7 Plus 65, DeepSeek OCR 2 32). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    65/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus

  2. DeepSeek

    DeepSeek OCR 2

    Released Jan 27, 2026

    32/100
    • ECI—
    • Price$0.89 / $1.47
    • Context8K
    Full specs Remove DeepSeek OCR 2

  3. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    65/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
    Full specs Remove MiniMax-M3
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, DeepSeek OCR 2 32/100), so choose by what matters most for your work: MiniMax-M3 on price and MiniMax-M3 for long inputs. 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 priceMiniMax-M3MiniMax-M3 $0.525 · Qwen3.7 Plus $0.70 · DeepSeek OCR 2 $1.03 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · DeepSeek OCR 2 8,192 tokens
  • Widest inputsQwen3.7 Plus and MiniMax-M3Qwen3.7 Plus: Text, Images, Video · DeepSeek OCR 2: Text, Images · MiniMax-M3: Text, Images, Video
  • Self-hostingDeepSeek OCR 2 and MiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 PlusDeepSeek OCR 2MiniMax-M3
Price50%574963
Inputs & features30%802570
Context window20%60061
Overall100%65/10032/10065/100

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.

Qwen3.7 Plus vs DeepSeek OCR 2 vs MiniMax-M3 specifications side by side
SpecificationQwen3.7 PlusAlibaba (Qwen)DeepSeek OCR 2DeepSeekMiniMax-M3MiniMax
Capability
Capabilities Index (ECI)147.4 (best)—147.0
ECI rank#61 of 148 (best)—#62 of 148
GPQA DiamondGraduate-level science questions87.9%—90.9% (best)
FrontierMath Tiers 1–3Research-level mathematics34.4%——
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)—71.1%
Price per million tokens
Input$0.40$0.89$0.30 (best)
Output$1.60$1.47$1.20 (best)
Cached input$0.04 (best)—$0.06
Blended (3:1)$0.70$1.03$0.525 (best)
Long-context rateOver 256K: $1.20 / $4.80Same rateOver 512K: $0.60 / $2.40
Price sourceOfficial Alibaba APIMedian of 1 providersOfficial MiniMax (minimax.io) API
Limits
Context window1,000,000 tokens8,192 tokens1,048,576 tokens (best)
Max output64,000 tokens8,192 tokens512,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoYes
ReasoningYesNoYes
Tool callingYesNoYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenOpen
API model IDqwen3.7-plus—MiniMax-M3
API providers25242 (best)
ReleasedJun 2, 2026Jan 27, 2026Jun 1, 2026
Knowledge cutoffApr 2025——
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.

  • Qwen3.7 Plus$7.20
  • DeepSeek OCR 2$11.83
  • MiniMax-M3$5.40
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Plus, DeepSeek OCR 2 or MiniMax-M3?

It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, DeepSeek OCR 2 32/100), so choose by what matters most for your work: MiniMax-M3 on price and MiniMax-M3 for long inputs. 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, Qwen3.7 Plus, DeepSeek OCR 2 or MiniMax-M3?

MiniMax-M3 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba API price); DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M3 versus $0.70 for Qwen3.7 Plus (1.3× as much) and $1.03 for DeepSeek OCR 2 (2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen3.7 Plus has an ECI of 147.4, DeepSeek OCR 2 has not been scored yet and MiniMax-M3 has an ECI of 147.0.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Plus, DeepSeek OCR 2 and MiniMax-M3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.

Which has the bigger context window?

MiniMax-M3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.7 Plus and 8,192 for DeepSeek OCR 2. Maximum output per response: Qwen3.7 Plus up to 64,000, DeepSeek OCR 2 up to 8,192, MiniMax-M3 up to 512,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Plus accepts text, images and video; DeepSeek OCR 2 accepts text and images; MiniMax-M3 accepts text, images and video. Qwen3.7 Plus handles the widest range of inputs.

Are any of these open source?

DeepSeek OCR 2 and MiniMax-M3 publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.

Which is newer?

Qwen3.7 Plus is the newest, released Jun 2, 2026. MiniMax-M3 came out Jun 1, 2026; DeepSeek OCR 2 came out Jan 27, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 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 Oct 4, 2026.

05 — Keep comparing

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