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GPT-5.4 Nano vs MiniMax M3

GPT-5.4 Nano

OpenAI

79#62
vs
MiniMax M3

MiniMax

74#90
Signal-by-Signal Comparison
SignalGPT-5.4 NanoDeltaMiniMax M3
Capabilities
100
+17
83
Benchmarks
90
+18
73
Pricing
99
--
99
Context window size
80
-6
86
Recency
100
--
100
Output Capacity
85
-10
95
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (18 data points)
GPT-5.4 NanoMiniMax M3
GPT-5.4 Nano

78.8

current score

Leader

GPT-5.4 Nano

right now

MiniMax M3

73.9

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

GPT-5.4 Nano

OpenAI

Best Value
Per request$0.000825
Daily$2.75
Monthly$82.50
Annual$990.00

MiniMax M3

MiniMax

Per request$0.000900
Daily$3.00
Monthly$90.00
Annual$1080.00

GPT-5.4 Nano saves you $7.50/month

That's $90.00/year compared to MiniMax M3 at your current usage level of 100K calls/month.

8% cheaper
Choose GPT-5.4 Nano for cost optimization

GPT-5.4 Nano pricing:
Input:$0.20/M tokens
Output:$1.25/M tokens
MiniMax M3 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
Winner
GPT-5.4 Nano

OpenAI

79

Composite Score

MiniMax M3

MiniMax

74

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.4 NanoMiniMax M3Winner
Overall Score
79
74
GPT-5.4 Nano
Rank#62#90
GPT-5.4 Nano
Quality Rank#62#90
GPT-5.4 Nano
Adoption Rank#62#90
GPT-5.4 Nano
Parameters------
Context Window400K1049K
MiniMax M3
Pricing$0.20/$1.25/M$0.30/$1.20/M--
Signal Scores
Capabilities
100
83
GPT-5.4 Nano
Benchmarks
90
73
GPT-5.4 Nano
Pricing
99
99
GPT-5.4 Nano
Context window size
80
86
MiniMax M3
Recency
100
100
GPT-5.4 Nano
Output Capacity
85
95
MiniMax M3
Benchmark Head-to-Head(11 benchmarks)
GPT-5.4 Nano: 1MiniMax M3: 0
GPT-5.4 Nano
MiniMax M3
Normalized 0-100%
MMLU
94%-
MMLU-Pro
87%-
GPQA Diamond
88.5%-
MATH-500
95.5%-
HumanEval
97.5%-
SWE-bench Verified
80%-
IFEval
93.5%-
BBH
92%-
Arena Elo
14851445
LiveBench
79%-
HLE
39%-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

GPT-5.4 NanoStrong Performer

Scores 79/100 (rank #62), placing it in the top 79% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M3Strong Performer

Scores 74/100 (rank #90), placing it in the top 69% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 5-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose GPT-5.4 Nano when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose MiniMax M3 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.4 NanoBest Value
Input cost$0.20/M tokens
Output cost$1.25/M tokens
Cost per quality point$0.018
Est. monthly (1M tokens/day)$21.75
MiniMax M3
Input cost$0.30/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.020
Est. monthly (1M tokens/day)$22.50

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
GPT-5.4 NanoFaster
Speed score0/100
MiniMax M3
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

GPT-5.4 Nano

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M3 also offers lower per-token costs for high-volume support

GPT-5.4 Nano

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

MiniMax M3

Batch data extraction

Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily

MiniMax M3

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.4 Nano

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-5.4 Nano
Which Should You Choose?
Our recommendation:
GPT-5.4 Nano

GPT-5.4 Nano has a moderate advantage with a 4.8999999999999915-point lead in composite score. It wins on more signal dimensions, but MiniMax M3 has specific strengths that could make it the better choice for certain workflows.

GPT-5.4 Nano
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 3% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by MiniMax

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.4 NanoMiniMax M3
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.4 Nano

OpenAI

Best Value
$1.86
estimated monthly cost

MiniMax M3

MiniMax

$1.98
estimated monthly cost

GPT-5.4 Nano saves you $0.1200/month

That's 6% cheaper than MiniMax M3 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGPT-5.4 NanoMiniMax M3
Context Window400K1.0M
Max Output Tokens128,000512,000
Open SourceNoYes
CreatedMar 17, 2026May 31, 2026
Last updated: 17m ago

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GPT-5.4 Nano vs MiniMax M3 (2026) | LM Market Cap