SambaNova launched hosted inference for MiniMax M3 on SambaCloud, highlighting its 1M-token context window, 59.0% score on SWE-Bench Pro, and optimized RDU hardware acceleration.

Key Takeaways

  • ✓Benchmarked against rigorous engineering suites (59.0% on SWE-Bench Pro and 66.0% on Terminal-Bench 2.1);
  • ✓SambaNova RDU architecture optimized for low-latency autoregressive generation across extended context spans;
  • ✓1M native context window provides extensive capacity for multi-turn autonomous debugging and codebase ingestion.
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Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
Benchmarked against rigorous engineering suites (59.0% on SWE-Bench Pro and 66.0% on Terminal-Bench 2.1);
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💰 Cost & PlansCompare
MiniMax-M3 · in: $0.3 / out: $1.2
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🛠️ Ecosystem & IDERules
Cursor · Claude Code · API
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Up NextMiniMax M3.1 Flash weights now open on Hugging Face: 428B-total / 23B-active MoE, $0.15 input and $0.60 output per million tokens, 73.7% on DeepSWE
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