AI model comparison
MiniMax M2.7 vs GPT-5.4 Nano
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
MiniMax
MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
- Input / 1M
- $0.21
- Output / 1M
- $0.84
- Context
- 205K
OpenAI
GPT-5.4 Nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks.
- Input / 1M
- $0.20
- Output / 1M
- $1.25
- Context
- 400K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiniMax M2.7
1.2x cheaper for a typical chat
Higher intelligence score
MiniMax M2.7
22.8 vs 20.7 on Artificial Analysis
Larger context window
GPT-5.4 Nano
400K vs 205K tokens
Newer release
MiniMax M2.7
Released March 18, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.4 Nano20.7Coding index
GPT-5.4 Nano56.1Agentic index
GPT-5.4 Nano16Pricing
MiniMax M2.7 vs GPT-5.4 Nano API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.4 Nano | |
|---|---|---|
| Input tokensPer 1M tokens | $0.21 | $0.20 |
| Output tokensPer 1M tokens | $0.84 | $1.25 |
| Cached input (read)Per 1M tokens | $0.04 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-5.4 Nano$1.02Coding task
30K in, 4K out
GPT-5.4 Nano$11$5.60 cachedLong document summary
150K in, 2K out
GPT-5.4 Nano$32.50$5.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5.4 Nano | |
|---|---|---|
| Context window | 205K tokens | 400K tokens |
| Max output | 177K tokens | 128K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Extra high, High, Medium, Low, None |
| Default reasoning effort | Not available | Medium |
| Release date | March 18, 2026 | March 17, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.4 Nano | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- MiniMax M2.7 vs DeepSeek V4 Flash 0423
- MiniMax M2.7 vs Hy3
- MiniMax M2.7 vs MiniMax M3
- MiniMax M2.7 vs Solar Mini 4
- MiniMax M2.7 vs MiMo-V2.5-Pro
- MiniMax M2.7 vs DeepSeek V3.2
- MiniMax M2.7 vs Qwen3.7 Plus
- MiniMax M2.7 vs Gemini 3.5 Flash Lite
- MiniMax M2.7 vs MiniMax M2.5
- MiniMax M2.7 vs Ling 3.0 Flash Fin
- MiniMax M2.7 vs MiniMax M2.1
- MiniMax M2.7 vs Qwen3.5-35B-A3B
- MiniMax M2.7 vs MiniMax M2
GPT-5.4 NanoView full model details- GPT-5.4 Nano vs DeepSeek V4 Flash 0423
- GPT-5.4 Nano vs DeepSeek V3.2
- GPT-5.4 Nano vs Gemini 3.5 Flash Lite
- GPT-5.4 Nano vs Step 3.7 Flash
- GPT-5.4 Nano vs GPT-5 Mini
- GPT-5.4 Nano vs GPT-5.6 Luna Pro
- GPT-5.4 Nano vs Qwen3.6 35B A3B
- GPT-5.4 Nano vs MiniMax M2.5
- GPT-5.4 Nano vs MiniMax M2.1
- GPT-5.4 Nano vs GPT-5.1-Codex-Mini
- GPT-5.4 Nano vs o3
- GPT-5.4 Nano vs Qwen3.5-35B-A3B
- GPT-5.4 Nano vs LongCat 2.0
- GPT-5.4 Nano vs MiniMax M2
- GPT-5.4 Nano vs Muse Glimmer 30B
Our take
MiniMax M2.7 is 1.2x cheaper for a typical chat. MiniMax M2.7 scores higher on the Artificial Analysis Intelligence Index (22.8 vs 20.7). GPT-5.4 Nano has the larger context window (400K vs 205K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is MiniMax M2.7 or GPT-5.4 Nano cheaper?
MiniMax M2.7 is cheaper for a typical chat (2K input tokens and 500 output tokens). MiniMax M2.7 costs $0.21 per 1M input tokens and $0.84 per 1M output tokens, while GPT-5.4 Nano costs $0.20 per 1M input tokens and $1.25 per 1M output tokens.
Which has a bigger context window, MiniMax M2.7 or GPT-5.4 Nano?
GPT-5.4 Nano supports up to 400K tokens of context, compared with 205K for MiniMax M2.7.
Is MiniMax M2.7 smarter than GPT-5.4 Nano?
On the Artificial Analysis Intelligence Index, MiniMax M2.7 scores 22.8 and GPT-5.4 Nano scores 20.7, putting MiniMax M2.7 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiniMax M2.7 and GPT-5.4 Nano at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiniMax M2.7 and GPT-5.4 Nano answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiniMax M2.7 and GPT-5.4 Nano at the same time. Compare the answers side by side and keep the best one.