GPT-5.4 nano vs Claude Haiku 4.5 vs MiniMax-M2.5
GPT-5.4 nano comes out ahead, 68 to 61 and 58 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
AnthropicClaude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
MiniMaxMiniMax-M2.5
61/100- 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 68/100 against MiniMax-M2.5 (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-M2.5Capabilities Index (ECI): MiniMax-M2.5 146.7 · GPT-5.4 nano 145.8 · Claude Haiku 4.5 142.4
- Lowest priceGPT-5.4 nanoGPT-5.4 nano $0.463 · MiniMax-M2.5 $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-M2.5 204,800 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5GPT-5.4 nano: Text, Images · Claude Haiku 4.5: Text, Images, PDFs · MiniMax-M2.5: Text
- Self-hostingMiniMax-M2.5Publishes downloadable weights
| Measure | Weight | GPT-5.4 nano | Claude Haiku 4.5 | MiniMax-M2.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 69 | 74 |
| Price | 25% | 66 | 36 | 63 |
| Inputs & features | 15% | 70 | 80 | 35 |
| Context window | 10% | 44 | 32 | 32 |
| Overall | 100% | 68/100 | 58/100 | 61/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-5.4 nanoOpenAI | Claude Haiku 4.5Anthropic | MiniMax-M2.5MiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 145.8 | 142.4 | 146.7 (best) |
| ECI rank | #75 of 148 | #90 of 148 | #66 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 78.5% (best) | 71.2% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 44.9% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 87.8% (best) | 66.7% | — |
| SimpleQA VerifiedShort factual questions | 11.7% | 13.2% (best) | — |
| Price per million tokens | |||
| Input | $0.20 (best) | $1.00 | $0.30 |
| Output | $1.25 | $5.00 | $1.20 (best) |
| Cached input | $0.02 (best) | $0.10 | $0.03 |
| Blended (3:1) | $0.463 (best) | $2.00 | $0.525 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Anthropic API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 400,000 tokens (best) | 200,000 tokens | 204,800 tokens |
| Max output | 128,000 tokens | 64,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeslow · medium · high · xhigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-5.4-nano | claude-haiku-4-5 | MiniMax-M2.5 |
| API providers | 26 | 34 (best) | 21 |
| Released | Mar 17, 2026 | Oct 15, 2025 | Feb 12, 2026 |
| Knowledge cutoff | Aug 31, 2025 | Feb 28, 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
- Claude Haiku 4.5$20.00
- MiniMax-M2.5$5.40
Which should you choose?
Which is better: GPT-5.4 nano, Claude Haiku 4.5 or MiniMax-M2.5?
GPT-5.4 nano is the better all-round choice, scoring 68/100 against MiniMax-M2.5 (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, GPT-5.4 nano, Claude Haiku 4.5 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); 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-M2.5 (1.1× as much) and $2.00 for Claude Haiku 4.5 (4.3× 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), 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 (142.3–147.9 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 GPT-5.4 nano, Claude Haiku 4.5 and MiniMax-M2.5 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?
GPT-5.4 nano has the largest context window at 400,000 tokens, against 204,800 for MiniMax-M2.5 and 200,000 for Claude Haiku 4.5. Maximum output per response: GPT-5.4 nano up to 128,000, Claude Haiku 4.5 up to 64,000, MiniMax-M2.5 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-5.4 nano accepts text and images; Claude Haiku 4.5 accepts text, images and PDFs; MiniMax-M2.5 accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5 publishes its weights and can be self-hosted; GPT-5.4 nano and Claude Haiku 4.5 is proprietary.
Which is newer?
GPT-5.4 nano is the newest, released Mar 17, 2026. MiniMax-M2.5 came out Feb 12, 2026; Claude Haiku 4.5 came out Oct 15, 2025. Knowledge cutoff: GPT-5.4 nano Aug 31, 2025, Claude Haiku 4.5 Feb 28, 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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