minimax-m3 vs gpt-5.3-codex
Side-by-side comparison of minimax-m3 and gpt-5.3-codex: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.3-codex outperforms minimax-m3 on 3 of 5 shared benchmarks.
MiniMax50% off
minimax-m3
Input / 1M
$0.60$0.30
Output / 1M
$2.40$1.20
Context
1M
Model ID
minimaxi/minimax-m3
gpt-5.3-codex
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai-responses/gpt-5.3-codex
Benchmark comparison
Intelligence Indexreasoning
minimax-m335.7%
gpt-5.3-codex36.9%
Coding Indexcoding
minimax-m358.6%
gpt-5.3-codexN/A
GPQA Diamondreasoning
minimax-m392.9%
gpt-5.3-codex91.5%
Terminal-Bench Hardagentic
minimax-m342.4%
gpt-5.3-codex53.0%
τ²-Benchagentic
minimax-m388.9%
gpt-5.3-codex86.0%
SciCodecoding
minimax-m347.1%
gpt-5.3-codexN/A
Humanity's Last Examreasoning
minimax-m339.0%
gpt-5.3-codex42.5%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| minimax-m3 | gpt-5.3-codex | |
|---|---|---|
| Input price / 1M | $0.60$0.30 | $1.75 |
| Output price / 1M | $2.40$1.20 | $14.00 |
| Context window | 1M tokens | 400K tokens |
| Max output | 128K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | MiniMax | OpenAI Responses |
Questions people ask
Is minimax-m3 better than gpt-5.3-codex?
gpt-5.3-codex outperforms minimax-m3 on 3 of 5 shared benchmarks. See the benchmark comparison above for specifics: minimax-m3 and gpt-5.3-codex have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, minimax-m3 or gpt-5.3-codex?
minimax-m3 is cheaper. minimax-m3 costs $0.30/$1.20 per 1M input/output tokens, while gpt-5.3-codex costs $1.75/$14.00. The prices shown are what you pay: minimax-m3 runs at 50% off its list rate of $0.60 per 1M input and $2.40 per 1M output.
Can I use minimax-m3 and gpt-5.3-codex through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "minimaxi/minimax-m3" and "openai-responses/gpt-5.3-codex", no other code changes needed.
What are the context windows?
minimax-m3 supports up to 1M tokens of context. gpt-5.3-codex supports up to 400K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between minimax-m3 and gpt-5.3-codex with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.