minimax-m3 vs grok-4.6
Side-by-side comparison of minimax-m3 and grok-4.6: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. grok-4.6 outperforms minimax-m3 on 5 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
xAI Corp.
grok-4.6
Input / 1M
$2.00
Output / 1M
$6.00
Context
500K
Model ID
xai/grok-4.6
Benchmark comparison
Intelligence Indexreasoning
minimax-m335.7%
grok-4.650.6%
Coding Indexcoding
minimax-m358.6%
grok-4.676.8%
GPQA Diamondreasoning
minimax-m392.9%
grok-4.694.9%
Terminal-Bench Hardagentic
minimax-m342.4%
grok-4.6N/A
τ²-Benchagentic
minimax-m388.9%
grok-4.6N/A
SciCodecoding
minimax-m347.1%
grok-4.656.5%
Humanity's Last Examreasoning
minimax-m339.0%
grok-4.642.9%
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 | grok-4.6 | |
|---|---|---|
| Input price / 1M | $0.60$0.30 | $2.00 |
| Output price / 1M | $2.40$1.20 | $6.00 |
| Context window | 1M tokens | 500K tokens |
| Max output | 128K tokens | N/A |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | MiniMax | xAI Corp. |
Questions people ask
Is minimax-m3 better than grok-4.6?
grok-4.6 outperforms minimax-m3 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: minimax-m3 and grok-4.6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, minimax-m3 or grok-4.6?
minimax-m3 is cheaper. minimax-m3 costs $0.30/$1.20 per 1M input/output tokens, while grok-4.6 costs $2.00/$6.00. 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 grok-4.6 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 "xai/grok-4.6", no other code changes needed.
What are the context windows?
minimax-m3 supports up to 1M tokens of context. grok-4.6 supports up to 500K 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 grok-4.6 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.