MiniMax M3 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison

CharacteristicMiniMax M3Qwen3-235B-A22B-Thinking-2507
CompanyMiniMaxAlibaba
Release DateJune 1, 2026July 24, 2025
Parameters428B235B
MultimodalYesNo
Context (input)1.0M256K
Context (output)131K131K
Input Price / 1M$0.30$0.30
Output Price / 1M$1.20$3.00
Average Score0.90.9

Verdict

MiniMax M3 leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: MiniMax M3 — 0.9, Qwen3-235B-A22B-Thinking-2507 — 0.9.

API Cost

MiniMax M3 is 2.2x cheaper: input $0.30/1M vs $0.30/1M tokens.

Context Window

MiniMax M3 supports a larger context: 1M vs 256K tokens.

Recency

MiniMax M3 is newer: released 6/1/2026 vs 7/24/2025.

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Frequently Asked Questions

Which is better for coding — MiniMax M3 or Qwen3-235B-A22B-Thinking-2507?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — MiniMax M3 or Qwen3-235B-A22B-Thinking-2507?
MiniMax M3 is cheaper for input: $0.30 per 1M tokens vs $0.30.
Which has a larger context window — MiniMax M3 or Qwen3-235B-A22B-Thinking-2507?
MiniMax M3 supports a larger context: 1,000,000 tokens vs 256,000.

The MiniMax M3 and Qwen3-235B-A22B-Thinking-2507 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the MiniMax M3 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.