Gemini 2.5 Computer Use Preview vs GPT-5.4 nano vs MiniMax-M2.5
GPT-5.4 nano comes out ahead, 63 to 48 and 35 on our weighted score, and it is the cheaper option too.
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pick
OpenAIGPT-5.4 nano
63/100- ECI145.8
- Price$0.20 / $1.25
- Context400K
MiniMaxMiniMax-M2.5
48/100- ECI146.7
- Price$0.30 / $1.20
- Context205K
GPT-5.4 nano is our pick
GPT-5.4 nano is the better all-round choice, scoring 63/100 against MiniMax-M2.5 (48) and Gemini 2.5 Computer Use Preview (35). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · MiniMax-M2.5 $0.525 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · MiniMax-M2.5 204,800 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsGemini 2.5 Computer Use Preview and GPT-5.4 nanoGemini 2.5 Computer Use Preview: Text, Images · GPT-5.4 nano: Text, Images · MiniMax-M2.5: Text
- Self-hostingMiniMax-M2.5Publishes downloadable weights
| Measure | Weight | Gemini 2.5 Computer Use Preview | GPT-5.4 nano | MiniMax-M2.5 |
|---|---|---|---|---|
| Price | 50% | 24 | 66 | 63 |
| Inputs & features | 30% | 60 | 70 | 35 |
| Context window | 20% | 24 | 44 | 32 |
| Overall | 100% | 35/100 | 63/100 | 48/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.5 Computer Use PreviewGoogle | GPT-5.4 nanoOpenAI | MiniMax-M2.5MiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 145.8 | 146.7 (best) |
| ECI rank | — | #75 of 148 | #66 of 148 (best) |
| 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 | $1.25 | $0.20 (best) | $0.30 |
| Output | $10.00 | $1.25 | $1.20 (best) |
| Cached input | — | $0.02 (best) | $0.03 |
| Blended (3:1) | $3.44 | $0.463 (best) | $0.525 |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate | Same rate |
| Price source | Official Google API | Official OpenAI API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 128,000 tokens | 400,000 tokens (best) | 204,800 tokens |
| Max output | 64,000 tokens | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gemini-2.5-computer-use-preview-10-2025 | gpt-5.4-nano | MiniMax-M2.5 |
| API providers | 2 | 26 (best) | 21 |
| Released | Oct 7, 2025 | Mar 17, 2026 | Feb 12, 2026 |
| Knowledge cutoff | Jan 2025 | 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.
- Gemini 2.5 Computer Use Preview$32.50
- GPT-5.4 nano$4.50
- MiniMax-M2.5$5.40
Which should you choose?
Which is better: Gemini 2.5 Computer Use Preview, GPT-5.4 nano or MiniMax-M2.5?
GPT-5.4 nano is the better all-round choice, scoring 63/100 against MiniMax-M2.5 (48) and Gemini 2.5 Computer Use Preview (35). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemini 2.5 Computer Use Preview, GPT-5.4 nano or MiniMax-M2.5?
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); Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google 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 $3.44 for Gemini 2.5 Computer Use Preview (7.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Computer Use Preview has not been scored yet, GPT-5.4 nano has an ECI of 145.8 and MiniMax-M2.5 has an ECI of 146.7.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview, GPT-5.4 nano and MiniMax-M2.5 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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-M2.5 and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.4 nano up to 128,000, MiniMax-M2.5 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.4 nano accepts text and images; MiniMax-M2.5 accepts text. Gemini 2.5 Computer Use Preview handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5 publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5.4 nano is proprietary.
Which is newer?
GPT-5.4 nano is the newest, released Mar 17, 2026. MiniMax-M2.5 came out Feb 12, 2026; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview 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.
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