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Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M2.7 vs Claude Haiku 4.5 vs GPT-5.4 nano

GPT-5.4 nano comes out ahead, 68 to 61 and 58 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. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
    Full specs Remove Claude Haiku 4.5
  3. Our pick

    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

GPT-5.4 nano is our pick

GPT-5.4 nano is the better all-round choice, scoring 68/100 against MiniMax-M2.7 (61) and Claude Haiku 4.5 (58). It leads on price and context window. Claude Haiku 4.5 wins on inputs & features. 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 · Claude Haiku 4.5 142.4
  • Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · MiniMax-M2.7 $0.525 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · MiniMax-M2.7 204,800 · Claude Haiku 4.5 200,000 tokens
  • Widest inputsClaude Haiku 4.5MiniMax-M2.7: Text · Claude Haiku 4.5: Text, Images, PDFs · GPT-5.4 nano: Text, Images
  • Self-hostingMiniMax-M2.7Publishes downloadable weights
How the score is built
MeasureWeightMiniMax-M2.7Claude Haiku 4.5GPT-5.4 nano
CapabilityCapabilities Index (ECI)50%736973
Price25%633666
Inputs & features15%358070
Context window10%323244
Overall100%61/10058/10068/100
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 Claude Haiku 4.5 vs GPT-5.4 nano specifications side by side
SpecificationMiniMax-M2.7MiniMaxClaude Haiku 4.5AnthropicGPT-5.4 nanoOpenAI
Capability
Capabilities Index (ECI)145.9 (best)142.4145.8
ECI rank#73 of 148 (best)#90 of 148#75 of 148
GPQA DiamondGraduate-level science questions—71.2%78.5% (best)
FrontierMath Tiers 1–3Research-level mathematics——44.9%
OTIS Mock AIME 2024–2025Competition mathematics—66.7%87.8% (best)
SimpleQA VerifiedShort factual questions—13.2% (best)11.7%
Price per million tokens
Input$0.30$1.00$0.20 (best)
Output$1.20 (best)$5.00$1.25
Cached input$0.06$0.10$0.02 (best)
Blended (3:1)$0.525$2.00$0.463 (best)
Long-context rateSame rateSame rateSame rate
Price sourceOfficial MiniMax (minimax.io) APIOfficial Anthropic APIOfficial OpenAI API
Limits
Context window204,800 tokens200,000 tokens400,000 tokens (best)
Max output131,072 tokens (best)64,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenProprietaryProprietary
API model IDMiniMax-M2.7claude-haiku-4-5gpt-5.4-nano
API providers2934 (best)26
ReleasedMar 18, 2026Oct 15, 2025Mar 17, 2026
Knowledge cutoff—Feb 28, 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
  • Claude Haiku 4.5$20.00
  • GPT-5.4 nano$4.50
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.7, Claude Haiku 4.5 or GPT-5.4 nano?

GPT-5.4 nano is the better all-round choice, scoring 68/100 against MiniMax-M2.7 (61) and Claude Haiku 4.5 (58). It leads on price and context window. Claude Haiku 4.5 wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, MiniMax-M2.7, Claude Haiku 4.5 or GPT-5.4 nano?

GPT-5.4 nano is cheaper at $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); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.463 per million tokens for GPT-5.4 nano versus $0.525 for MiniMax-M2.7 (1.1× as much) and $2.00 for Claude Haiku 4.5 (4.3× 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 Claude Haiku 4.5 142.4 (#90 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, Claude Haiku 4.5 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?

GPT-5.4 nano has the largest context window at 400,000 tokens, against 204,800 for MiniMax-M2.7 and 200,000 for Claude Haiku 4.5. Maximum output per response: MiniMax-M2.7 up to 131,072, Claude Haiku 4.5 up to 64,000, GPT-5.4 nano up to 128,000 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.7 accepts text; Claude Haiku 4.5 accepts text, images and PDFs; GPT-5.4 nano accepts text and images. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

MiniMax-M2.7 publishes its weights and can be self-hosted; Claude Haiku 4.5 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; Claude Haiku 4.5 came out Oct 15, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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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