Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 Coder Next | MiniMax-M2.1 |
|---|---|---|
| Input ($/M tokens) | $0.35 | $0.3 |
| Output ($/M tokens) | $1.2 | $1.2 |
Verdict. Qwen3 Coder Next and MiniMax-M2.1 split the benchmark comparison evenly at 1–1. The tiebreaker here is price, speed, and what you actually run them on.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, MiniMax-M2.1 is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). MiniMax-M2.1 makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Qwen3 Coder Next is strongest on Coding Index (36.2), Intelligence Index (21.3). MiniMax-M2.1 leads on Intelligence Index (32.1).
Speed. On throughput, Qwen3 Coder Next generates tokens at 139 tok/s versus 88 tok/s — about 37% faster. On time-to-first-token, Qwen3 Coder Next responds in 1030ms vs 1880ms, which matters most for chat-style UIs.
Provider. Alibaba and MiniMax sell to overlapping but distinct developer audiences: Alibaba tends to ship frontier reasoning models with premium positioning, while MiniMax often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Qwen3 Coder Next costs $28.50 ($342/year); MiniMax-M2.1 costs $27.00 ($324/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Qwen3 Coder Next ≈ $4.15/run, MiniMax-M2.1 ≈ $3.90/run. At agent/realtime scale (200M input / 100M output per million requests): Qwen3 Coder Next ≈ $190/run, MiniMax-M2.1 ≈ $180/run. MiniMax-M2.1 becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
MiniMax-M2.1 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.53/M tokens vs $0.56/M for Qwen3 Coder Next.
It's a tie — both models win 1 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
Qwen3 Coder Next generates tokens faster at 139 tok/s vs 88 tok/s. Qwen3 Coder Next also has lower time-to-first-token (1.03s vs 1.88s).
Choose based on your priorities: MiniMax-M2.1 for lower cost, both perform similarly on benchmarks, and Qwen3 Coder Next for faster generation. For latency-sensitive apps, check the TTFT comparison above.