ZMIME
Comparison · 3 models · Updated Oct 4, 2026

DeepSeek OCR 2 vs Mercury Edit 2 vs MiniMax-M2.5-highspeed

MiniMax-M2.5-highspeed comes out ahead, 41 to 35 and 32 on our weighted score, though Mercury Edit 2 is 2.8× cheaper per token.

  1. DeepSeek

    DeepSeek OCR 2

    Released Jan 27, 2026

    32/100
    • ECI—
    • Price$0.89 / $1.47
    • Context8K
  2. Inception

    Mercury Edit 2

    Released Mar 30, 2026

    35/100
    • ECI—
    • Price$0.25 / $0.75
    • Context32K
  3. Our pick

    MiniMax

    MiniMax-M2.5-highspeed

    Released Feb 13, 2026

    41/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
01 — Verdict

MiniMax-M2.5-highspeed is our pick

MiniMax-M2.5-highspeed is the better all-round choice, scoring 41/100 against Mercury Edit 2 (35) and DeepSeek OCR 2 (32). It leads on inputs & features and context window. Mercury Edit 2 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 priceMercury Edit 2Mercury Edit 2 $0.375 · DeepSeek OCR 2 $1.03 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M2.5-highspeedMiniMax-M2.5-highspeed 204,800 · Mercury Edit 2 32,000 · DeepSeek OCR 2 8,192 tokens
  • Widest inputsDeepSeek OCR 2DeepSeek OCR 2: Text, Images · Mercury Edit 2: Text · MiniMax-M2.5-highspeed: Text
  • Self-hostingDeepSeek OCR 2 and MiniMax-M2.5-highspeedPublishes downloadable weights
How the score is built
MeasureWeightDeepSeek OCR 2Mercury Edit 2MiniMax-M2.5-highspeed
Price50%497049
Inputs & features30%25035
Context window20%0032
Overall100%32/10035/10041/100

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 OCR 2 vs Mercury Edit 2 vs MiniMax-M2.5-highspeed specifications side by side
SpecificationDeepSeek OCR 2DeepSeekMercury Edit 2InceptionMiniMax-M2.5-highspeedMiniMax
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.89$0.25 (best)$0.60
Output$1.47$0.75 (best)$2.40
Cached input—$0.025 (best)$0.06
Blended (3:1)$1.03$0.375 (best)$1.05
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Inception APIOfficial MiniMax (minimax.io) API
Limits
Context window8,192 tokens32,000 tokens204,800 tokens (best)
Max output8,192 tokens8,192 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoNoYes
Tool callingNoNoYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpen
API model ID—mercury-edit-2MiniMax-M2.5-highspeed
API providers217 (best)
ReleasedJan 27, 2026Mar 30, 2026Feb 13, 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.

  • DeepSeek OCR 2$11.83
  • Mercury Edit 2$4.00
  • MiniMax-M2.5-highspeed$10.80
04 — Questions

Which should you choose?

Which is better: DeepSeek OCR 2, Mercury Edit 2 or MiniMax-M2.5-highspeed?

MiniMax-M2.5-highspeed is the better all-round choice, scoring 41/100 against Mercury Edit 2 (35) and DeepSeek OCR 2 (32). It leads on inputs & features and context window. Mercury Edit 2 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, DeepSeek OCR 2, Mercury Edit 2 or MiniMax-M2.5-highspeed?

Mercury Edit 2 is cheaper at $0.25 input / $0.75 output per million tokens (official Inception API price). DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider); MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.375 per million tokens for Mercury Edit 2 versus $1.03 for DeepSeek OCR 2 (2.8× as much) and $1.05 for MiniMax-M2.5-highspeed (2.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. DeepSeek OCR 2 has not been scored yet, Mercury Edit 2 has not been scored yet and MiniMax-M2.5-highspeed has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek OCR 2, Mercury Edit 2 and MiniMax-M2.5-highspeed yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 and Mercury Edit 2 does not support tool calling, which most coding agents need.

Which has the bigger context window?

MiniMax-M2.5-highspeed has the largest context window at 204,800 tokens, against 32,000 for Mercury Edit 2 and 8,192 for DeepSeek OCR 2. Maximum output per response: DeepSeek OCR 2 up to 8,192, Mercury Edit 2 up to 8,192, MiniMax-M2.5-highspeed up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek OCR 2 accepts text and images; Mercury Edit 2 accepts text; MiniMax-M2.5-highspeed accepts text. DeepSeek OCR 2 handles the widest range of inputs.

Are any of these open source?

DeepSeek OCR 2 and MiniMax-M2.5-highspeed publishes its weights and can be self-hosted; Mercury Edit 2 is proprietary.

Which is newer?

Mercury Edit 2 is the newest, released Mar 30, 2026. MiniMax-M2.5-highspeed came out Feb 13, 2026; DeepSeek OCR 2 came out Jan 27, 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.