Quick Take

Released just days apart in late May and early June 2026, the MiniMax-M3 and Anthropic’s Claude Opus 4.8 (Adaptive Reasoning, Max Effort) represent two distinct approaches to AI deployment. Claude Opus 4.8 positions itself as a high-performance, premium reasoning engine, whereas MiniMax-M3 enters the market with a disruptive zero-cost pricing model.

Benchmark Read

Claude Opus 4.8 leads in general intelligence and coding, boasting an Intelligence Index of 61.4 and a Coding Index of 56.7, compared to MiniMax-M3’s 54.7 and 43.4, respectively.

In specific benchmark testing, the models trade blows:

• GPQA: MiniMax-M3 (0.929) edges out Claude Opus 4.8 (0.92).
• HLE & SciCode: Claude Opus 4.8 outperforms, scoring 0.457 and 0.535 against MiniMax-M3’s 0.371 and 0.454.
• IFBench: MiniMax-M3 demonstrates superior instruction following with a score of 0.828, significantly higher than Claude Opus 4.8’s 0.622.
• TerminalBench Hard: Claude Opus 4.8 leads with 0.583 compared to 0.424.
• TAU2: Claude Opus 4.8 scores 0.944, while MiniMax-M3 scores 0.888.

Cost and Speed

There is a stark contrast in economic accessibility. MiniMax-M3 is currently free to use, with input and output costs listed at $0.00 per million tokens. In contrast, Claude Opus 4.8 follows a premium structure with a blended cost of $10.94 per million tokens ($6.25 input / $25.00 output).

Performance metrics for MiniMax-M3 remain largely unknown, including output speed and time to first token. Claude Opus 4.8 provides transparent performance data, operating at 52.776 tokens per second with a time to first token of 16.624 seconds.

Best Fit

Claude Opus 4.8 is best suited for enterprise environments and developers requiring high-fidelity reasoning, complex coding assistance, and predictable performance metrics. MiniMax-M3 is the ideal choice for developers and researchers looking to integrate high-performing AI without incurring token costs, particularly for tasks heavily reliant on instruction following.