Fireworks AI model
Minimax M3
MiniMax-M3 is a native multimodal model with 1M context running ~428B parameters and ~23B activated parameters. It brings native multimodality. enabling deeper semantic fusion across text, image, and video. M3 also introduces MiniMax Sparse Attention (MSA) to improve long context efficiency, achieving frontier-level performance across long-horizon agentic benchmarks, excelling in both coding and cowork.
- Provider
- Fireworks AI
- Availability
- Available
- Model ID
- minimax-m3
- Snapshot
- 2026-10-07
Minimax M3 Benchmarks & Agentic Accuracy
Verified primary research & developer preference metrics
What This Means in Real Software Development
- Achieves 29 on the Artificial Analysis Intelligence Index v4.3.2.
- Scores 30 on the Finance & Accounting Index.
- Delivers 85 TPS throughput at an efficient $0.25 cost per task.
- Specialized in conversational coding, documentation generation, and test synthesis.
Swarm Multi-Agent Topology
Best Paired With: Claude Opus 5.5 or Qwen 3.8 Max
Generates comprehensive documentation and test scaffolding quickly.
Works in isolated docs/tests branches without impacting core logic.
What Developers & Practitioners Are Saying
Real-world field observations, production strengths, and developer consensus
"A dependable and cost-effective subagent choice for documentation writing, test scaffolding, and simple code refactors."
Verified Real-World Strengths
- Inexpensive $0.25 cost per task with 85 TPS throughput
- Clean documentation and natural language explanations
- Reliable API availability and low latency
Production Caveats & Gaps
- Struggles on very complex compiler or kernel-level codebases
- Best managed under a strong Lead planner
Primary Sources & Methodology Citations
- Artificial Analysis Intelligence Index v4.3.2 — Artificial Analysis (September 2026)
- MiniMax-M3 Model Card — MiniMax (June 2026)
Head-to-Head Frontier Comparisons: Minimax M3 vs Rivals
Standardized, side-by-side benchmark & economics comparison against peer models
| Model | Role / Tier | SWE-bench | LiveCodeBench | LMSYS Elo | AIME | Input / Output |
|---|---|---|---|---|---|---|
Minimax M3Fireworks AICurrent | Tier 2: Documentation & Test Specialist | 58% | 50.5% | 1320 | — | $0.25 / $1 |
K2 Horizon 375B A23BIndependent Compare Minimax M3 vs K2 Horizon 375B A23B → | Tier 2: MoE Systems Specialist | 59.8% | 52% | 1330 | — | $0.4 / $1.6 |
Qwen 3.8 27BQwen Compare Minimax M3 vs Qwen 3.8 27B → | Tier 2: Open-Weights Specialist | 62% | 54.5% | 1342 | — | $0.2 / $0.8 |
NVIDIA Nemotron 3 UltraNVIDIA Compare Minimax M3 vs NVIDIA Nemotron 3 Ultra → | Tier 2: Accelerated Systems Specialist | 58.2% | 53% | 1365 | 77% | $0.5 / $1.5 |
InklingIndependent Compare Minimax M3 vs Inkling → | Tier 2: Code Search & Discovery Specialist | 54.5% | 47% | 1305 | — | $0.15 / $0.6 |
Minimax M3 model overview
Minimax M3 is listed in the public Swarm catalog through Fireworks AI. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.
- Provider
- Fireworks AI
- Family
- Minimax
- Context window
- 512K tokens
- Thinking support
- Not supported
- Availability status
- Available
- Catalog ID
- fireworks/minimax-m3
Run Minimax M3 in Swarm
Verified CLI workflow & multi-agent architecture
swarm ctl model set --provider fireworks --model fireworks/minimax-m3# Or switch interactively inside the terminal TUI:
/modelsSubagent Role Matrix
Assign Minimax M3 to specialized system roles in ~/.swarm/config.json:
- Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
- Coder Subagent: Generates code and unit tests inside private Git worktrees.
- Finder Subagent: Performs read-only code search, symbol discovery, and mapping.
Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.