ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.7 Plus vs Qwen3.5 122B-A10B vs MiniMax-M3

Too close to call on our weighted score (MiniMax-M3 65, Qwen3.7 Plus 65, Qwen3.5 122B-A10B 58). 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
  2. Alibaba (Qwen)

    Qwen3.5 122B-A10B

    Released Feb 23, 2026

    58/100
    • ECI—
    • Price$0.40 / $3.20
    • Context262K
  3. MiniMax

    MiniMax-M3

    Released Jun 1, 2026

    65/100
    • ECI147.0
    • Price$0.30 / $1.20
    • Context1.05M
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, Qwen3.5 122B-A10B 58/100), 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 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M3MiniMax-M3 1,048,576 · Qwen3.7 Plus 1,000,000 · Qwen3.5 122B-A10B 262,144 tokens
  • Widest inputsQwen3.5 122B-A10BQwen3.7 Plus: Text, Images, Video · Qwen3.5 122B-A10B: Text, Images, Audio, Video · MiniMax-M3: Text, Images, Video
  • Self-hostingQwen3.5 122B-A10B and MiniMax-M3Publishes downloadable weights
How the score is built
MeasureWeightQwen3.7 PlusQwen3.5 122B-A10BMiniMax-M3
Price50%574863
Inputs & features30%809070
Context window20%603761
Overall100%65/10058/10065/100

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 Qwen3.5 122B-A10B vs MiniMax-M3 specifications side by side
SpecificationQwen3.7 PlusAlibaba (Qwen)Qwen3.5 122B-A10BAlibaba (Qwen)MiniMax-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$0.40$0.30 (best)
Output$1.60$3.20$1.20 (best)
Cached input$0.04 (best)—$0.06
Blended (3:1)$0.70$1.10$0.525 (best)
Long-context rateOver 256K: $1.20 / $4.80Same rateOver 512K: $0.60 / $2.40
Price sourceOfficial Alibaba APIOfficial Alibaba APIOfficial MiniMax (minimax.io) API
Limits
Context window1,000,000 tokens262,144 tokens1,048,576 tokens (best)
Max output64,000 tokens65,536 tokens512,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoYesNo
VideoYesYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryOpenOpen
API model IDqwen3.7-plusqwen3.5-122b-a10bMiniMax-M3
API providers251942 (best)
ReleasedJun 2, 2026Feb 23, 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
  • Qwen3.5 122B-A10B$10.40
  • MiniMax-M3$5.40
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Plus, Qwen3.5 122B-A10B or MiniMax-M3?

It is close. Our weighted score puts them within a point (MiniMax-M3 65/100, Qwen3.7 Plus 65/100, Qwen3.5 122B-A10B 58/100), 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, Qwen3.5 122B-A10B 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); Qwen3.5 122B-A10B costs $0.40 input / $3.20 output per million tokens (official Alibaba API price). 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 $1.10 for Qwen3.5 122B-A10B (2.1× 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, Qwen3.5 122B-A10B 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, Qwen3.5 122B-A10B and MiniMax-M3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

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 262,144 for Qwen3.5 122B-A10B. Maximum output per response: Qwen3.7 Plus up to 64,000, Qwen3.5 122B-A10B up to 65,536, MiniMax-M3 up to 512,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Plus accepts text, images and video; Qwen3.5 122B-A10B accepts text, images, audio and video; MiniMax-M3 accepts text, images and video. Qwen3.5 122B-A10B handles the widest range of inputs.

Are any of these open source?

Qwen3.5 122B-A10B 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; Qwen3.5 122B-A10B came out Feb 23, 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.