ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M2.7 vs MiniMax-M2.7-highspeed vs Qwen3.5 122B-A10B

Qwen3.5 122B-A10B comes out ahead, 58 to 48 and 41 on our weighted score, though MiniMax-M2.7 is 2.1× cheaper per token.

  1. MiniMax

    MiniMax-M2.7

    Released Mar 18, 2026

    48/100
    • ECI145.9
    • Price$0.30 / $1.20
    • Context205K
    Full specs Remove MiniMax-M2.7

  2. MiniMax

    MiniMax-M2.7-highspeed

    Released Mar 18, 2026

    41/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
    Full specs Remove MiniMax-M2.7-highspeed
  3. Our pick

    Alibaba (Qwen)

    Qwen3.5 122B-A10B

    Released Feb 23, 2026

    58/100
    • ECI—
    • Price$0.40 / $3.20
    • Context262K
    Full specs Remove Qwen3.5 122B-A10B
01 — Verdict

Qwen3.5 122B-A10B is our pick

Qwen3.5 122B-A10B is the better all-round choice, scoring 58/100 against MiniMax-M2.7 (48) and MiniMax-M2.7-highspeed (41). It leads on inputs & features and context window. MiniMax-M2.7 wins 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 priceMiniMax-M2.7MiniMax-M2.7 $0.525 · MiniMax-M2.7-highspeed $1.05 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 122B-A10BQwen3.5 122B-A10B 262,144 · MiniMax-M2.7 204,800 · MiniMax-M2.7-highspeed 204,800 tokens
  • Widest inputsQwen3.5 122B-A10BMiniMax-M2.7: Text · MiniMax-M2.7-highspeed: Text · Qwen3.5 122B-A10B: Text, Images, Audio, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMiniMax-M2.7MiniMax-M2.7-highspeedQwen3.5 122B-A10B
Price50%634948
Inputs & features30%353590
Context window20%323237
Overall100%48/10041/10058/100

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.

MiniMax-M2.7 vs MiniMax-M2.7-highspeed vs Qwen3.5 122B-A10B specifications side by side
SpecificationMiniMax-M2.7MiniMaxMiniMax-M2.7-highspeedMiniMaxQwen3.5 122B-A10BAlibaba (Qwen)
Capability
Capabilities Index (ECI)145.9——
ECI rank#73 of 148——
Price per million tokens
Input$0.30 (best)$0.60$0.40
Output$1.20 (best)$2.40$3.20
Cached input$0.06$0.06—
Blended (3:1)$0.525 (best)$1.05$1.10
Long-context rateSame rateSame rateSame rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window204,800 tokens204,800 tokens262,144 tokens (best)
Max output131,072 tokens (best)131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoYes
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenOpen
API model IDMiniMax-M2.7MiniMax-M2.7-highspeedqwen3.5-122b-a10b
API providers29 (best)1419
ReleasedMar 18, 2026Mar 18, 2026Feb 23, 2026
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.

  • MiniMax-M2.7$5.40
  • MiniMax-M2.7-highspeed$10.80
  • Qwen3.5 122B-A10B$10.40
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.7, MiniMax-M2.7-highspeed or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the better all-round choice, scoring 58/100 against MiniMax-M2.7 (48) and MiniMax-M2.7-highspeed (41). It leads on inputs & features and context window. MiniMax-M2.7 wins 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, MiniMax-M2.7, MiniMax-M2.7-highspeed or Qwen3.5 122B-A10B?

MiniMax-M2.7 is cheaper at $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). MiniMax-M2.7-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) 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-M2.7 versus $1.05 for MiniMax-M2.7-highspeed (2× 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. MiniMax-M2.7 has an ECI of 145.9, MiniMax-M2.7-highspeed has not been scored yet and Qwen3.5 122B-A10B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M2.7, MiniMax-M2.7-highspeed and Qwen3.5 122B-A10B 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?

Qwen3.5 122B-A10B has the largest context window at 262,144 tokens, against 204,800 for MiniMax-M2.7 and 204,800 for MiniMax-M2.7-highspeed. Maximum output per response: MiniMax-M2.7 up to 131,072, MiniMax-M2.7-highspeed up to 131,072, Qwen3.5 122B-A10B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.7 accepts text; MiniMax-M2.7-highspeed accepts text; Qwen3.5 122B-A10B accepts text, images, audio and video. Qwen3.5 122B-A10B handles the widest range of inputs.

Are any of these open source?

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

Which is newer?

MiniMax-M2.7 is the newest, released Mar 18, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026; Qwen3.5 122B-A10B came out Feb 23, 2026.

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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