ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M2.7 vs Gemini 2.5 Flash-Lite vs GPT-5.4 nano

Gemini 2.5 Flash-Lite comes out ahead, 71 to 68 and 61 on our weighted score, and it is the cheaper option too.

  1. MiniMax

    MiniMax-M2.7

    Released Mar 18, 2026

    61/100
    • ECI145.9
    • Price$0.30 / $1.20
    • Context205K
    Full specs Remove MiniMax-M2.7
  2. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    71/100
    • ECI133.9
    • Price$0.10 / $0.40
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash-Lite

  3. OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    68/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
    Full specs Remove GPT-5.4 nano
01 — Verdict

Gemini 2.5 Flash-Lite is our pick

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against GPT-5.4 nano (68) and MiniMax-M2.7 (61). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMiniMax-M2.7Capabilities Index (ECI): MiniMax-M2.7 145.9 · GPT-5.4 nano 145.8 · Gemini 2.5 Flash-Lite 133.9
  • Lowest priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · GPT-5.4 nano $0.463 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · GPT-5.4 nano 400,000 · MiniMax-M2.7 204,800 tokens
  • Widest inputsGemini 2.5 Flash-LiteMiniMax-M2.7: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · GPT-5.4 nano: Text, Images
  • Self-hostingMiniMax-M2.7Publishes downloadable weights
How the score is built
MeasureWeightMiniMax-M2.7Gemini 2.5 Flash-LiteGPT-5.4 nano
CapabilityCapabilities Index (ECI)50%735873
Price25%638666
Inputs & features15%3510070
Context window10%326144
Overall100%61/10071/10068/100
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 Gemini 2.5 Flash-Lite vs GPT-5.4 nano specifications side by side
SpecificationMiniMax-M2.7MiniMaxGemini 2.5 Flash-LiteGoogleGPT-5.4 nanoOpenAI
Capability
Capabilities Index (ECI)145.9 (best)133.9145.8
ECI rank#73 of 148 (best)#118 of 148#75 of 148
GPQA DiamondGraduate-level science questions——78.5%
FrontierMath Tiers 1–3Research-level mathematics——44.9%
OTIS Mock AIME 2024–2025Competition mathematics——87.8%
SimpleQA VerifiedShort factual questions——11.7%
Price per million tokens
Input$0.30$0.10 (best)$0.20
Output$1.20$0.40 (best)$1.25
Cached input$0.06$0.01 (best)$0.02
Blended (3:1)$0.525$0.175 (best)$0.463
Long-context rateSame rateSame rateSame rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial Google APIOfficial OpenAI API
Limits
Context window204,800 tokens1,048,576 tokens (best)400,000 tokens
Max output131,072 tokens (best)65,536 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesNo
AudioNoYesNo
VideoNoYesNo
ReasoningYesYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenProprietaryProprietary
API model IDMiniMax-M2.7gemini-2.5-flash-litegpt-5.4-nano
API providers29 (best)2026
ReleasedMar 18, 2026Jun 17, 2025Mar 17, 2026
Knowledge cutoff—Jan 2025Aug 31, 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.

  • MiniMax-M2.7$5.40
  • Gemini 2.5 Flash-Lite$1.80
  • GPT-5.4 nano$4.50
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.7, Gemini 2.5 Flash-Lite or GPT-5.4 nano?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against GPT-5.4 nano (68) and MiniMax-M2.7 (61). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, MiniMax-M2.7, Gemini 2.5 Flash-Lite or GPT-5.4 nano?

Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). GPT-5.4 nano costs $0.20 input / $1.25 output per million tokens (official OpenAI API price); MiniMax-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.463 for GPT-5.4 nano (2.6× as much) and $0.525 for MiniMax-M2.7 (3× as much).

Which scores higher on benchmarks?

MiniMax-M2.7 scores higher on the Capabilities Index (ECI): MiniMax-M2.7 145.9 (#73 of 148), GPT-5.4 nano 145.8 (#75 of 148) and Gemini 2.5 Flash-Lite 133.9 (#118 of 148). The confidence ranges of the top two overlap (138.2–148.0 vs 143.2–147.7), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for MiniMax-M2.7, Gemini 2.5 Flash-Lite and GPT-5.4 nano yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.7 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5.4 nano and 204,800 for MiniMax-M2.7. Maximum output per response: MiniMax-M2.7 up to 131,072, Gemini 2.5 Flash-Lite up to 65,536, GPT-5.4 nano up to 128,000 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.7 accepts text; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; GPT-5.4 nano accepts text and images. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

MiniMax-M2.7 publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite and GPT-5.4 nano is proprietary.

Which is newer?

MiniMax-M2.7 is the newest, released Mar 18, 2026. GPT-5.4 nano came out Mar 17, 2026; Gemini 2.5 Flash-Lite came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, GPT-5.4 nano Aug 31, 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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