MiniMax M3 vs GPT-4 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | MiniMax M3 | GPT-4 |
|---|---|---|
| Maker | MiniMax | OpenAI |
| Type | Open-weight | Proprietary |
| Context window | 1M tokens | 8K tokens |
| Input price | $0.3/M · free self-host | $30/M |
| Output price | $1.2/M · free self-host | $60/M |
| Vision / multimodal | Yes | No |
| Tool / function calling | Yes | Yes |
| Self-hostable | Yes | No (API only) |
| License | MIT | Proprietary |
| Capability | MiniMax M3 | GPT-4 |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | MiniMax M3 | GPT-4 |
|---|---|---|
| Cost-efficiency | 4.5 | 2.0 |
| Context window | 5.0 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning...
These variants are tracked but not compared here — one page per family keeps the comparison readable.
MiniMax M3 is open-weight and competitive on many tasks, but GPT-4 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. MiniMax M3 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-4 is API-only and cannot be self-hosted.
MiniMax M3 costs $1.2/M output vs $60/M for GPT-4 — roughly 50x cheaper via API, and free if you self-host.
Choose MiniMax M3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-4 if you want frontier capability through a managed API with zero infrastructure to run.
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