GPT-5.4 nano vs MiniMax-M2.5 vs Nemotron 3 Ultra 550B A55B
GPT-5.4 nano comes out ahead, 68 to 62 and 61 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT-5.4 nano
68/100- ECI145.8
- Price$0.20 / $1.25
- Context400K
MiniMaxMiniMax-M2.5
61/100- ECI146.7
- Price$0.30 / $1.20
- Context205K
NVIDIANemotron 3 Ultra 550B A55B
62/100- ECI146.2
- Price$0.50 / $2.50
- Context1M
GPT-5.4 nano is our pick
GPT-5.4 nano is the better all-round choice, scoring 68/100 against Nemotron 3 Ultra 550B A55B (62) and MiniMax-M2.5 (61). It leads on price and inputs & features. Nemotron 3 Ultra 550B A55B wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMiniMax-M2.5Capabilities Index (ECI): MiniMax-M2.5 146.7 · Nemotron 3 Ultra 550B A55B 146.2 · GPT-5.4 nano 145.8
- Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · MiniMax-M2.5 $0.525 · Nemotron 3 Ultra 550B A55B $1.00 per 1M tokens (3:1 blend)
- Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · GPT-5.4 nano 400,000 · MiniMax-M2.5 204,800 tokens
- Widest inputsGPT-5.4 nanoGPT-5.4 nano: Text, Images · MiniMax-M2.5: Text · Nemotron 3 Ultra 550B A55B: Text
- Self-hostingMiniMax-M2.5 and Nemotron 3 Ultra 550B A55BPublishes downloadable weights
| Measure | Weight | GPT-5.4 nano | MiniMax-M2.5 | Nemotron 3 Ultra 550B A55B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 74 | 73 |
| Price | 25% | 66 | 63 | 50 |
| Inputs & features | 15% | 70 | 35 | 45 |
| Context window | 10% | 44 | 32 | 60 |
| Overall | 100% | 68/100 | 61/100 | 62/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.4 nanoOpenAI | MiniMax-M2.5MiniMax | Nemotron 3 Ultra 550B A55BNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.8 | 146.7 (best) | 146.2 |
| ECI rank | #75 of 148 | #66 of 148 (best) | #70 of 148 |
| GPQA DiamondGraduate-level science questions | 78.5% | — | 85.4% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 44.9% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 87.8% (best) | — | 86.7% |
| SimpleQA VerifiedShort factual questions | 11.7% | — | — |
| Price per million tokens | |||
| Input | $0.20 (best) | $0.30 | $0.50 |
| Output | $1.25 | $1.20 (best) | $2.50 |
| Cached input | $0.02 (best) | $0.03 | $0.15 |
| Blended (3:1) | $0.463 (best) | $0.525 | $1.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official MiniMax (minimax.io) API | Official Nvidia API |
| Limits | |||
| Context window | 400,000 tokens | 204,800 tokens | 1,000,000 tokens (best) |
| Max output | 128,000 tokens | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | gpt-5.4-nano | MiniMax-M2.5 | nvidia/nemotron-3-ultra-550b-a55b |
| API providers | 26 (best) | 21 | 21 |
| Released | Mar 17, 2026 | Feb 12, 2026 | Jun 4, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.4 nano$4.50
- MiniMax-M2.5$5.40
- Nemotron 3 Ultra 550B A55B$10.00
Which should you choose?
Which is better: GPT-5.4 nano, MiniMax-M2.5 or Nemotron 3 Ultra 550B A55B?
GPT-5.4 nano is the better all-round choice, scoring 68/100 against Nemotron 3 Ultra 550B A55B (62) and MiniMax-M2.5 (61). It leads on price and inputs & features. Nemotron 3 Ultra 550B A55B wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-5.4 nano, MiniMax-M2.5 or Nemotron 3 Ultra 550B A55B?
GPT-5.4 nano is cheaper at $0.20 input / $1.25 output per million tokens (official OpenAI API price). MiniMax-M2.5 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price); Nemotron 3 Ultra 550B A55B costs $0.50 input / $2.50 output per million tokens (official Nvidia 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-M2.5 (1.1× as much) and $1.00 for Nemotron 3 Ultra 550B A55B (2.2× as much).
Which scores higher on benchmarks?
MiniMax-M2.5 scores higher on the Capabilities Index (ECI): MiniMax-M2.5 146.7 (#66 of 148), Nemotron 3 Ultra 550B A55B 146.2 (#70 of 148) and GPT-5.4 nano 145.8 (#75 of 148). The confidence ranges of the top two overlap (142.3–147.9 vs 143.9–148.1), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.4 nano, MiniMax-M2.5 and Nemotron 3 Ultra 550B A55B yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.5 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?
Nemotron 3 Ultra 550B A55B has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 nano and 204,800 for MiniMax-M2.5. Maximum output per response: GPT-5.4 nano up to 128,000, MiniMax-M2.5 up to 131,072, Nemotron 3 Ultra 550B A55B up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 nano accepts text and images; MiniMax-M2.5 accepts text; Nemotron 3 Ultra 550B A55B accepts text. GPT-5.4 nano handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5 and Nemotron 3 Ultra 550B A55B publishes its weights and can be self-hosted; GPT-5.4 nano is proprietary.
Which is newer?
Nemotron 3 Ultra 550B A55B is the newest, released Jun 4, 2026. GPT-5.4 nano came out Mar 17, 2026; MiniMax-M2.5 came out Feb 12, 2026. Knowledge cutoff: 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.
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