M

MiniMax M3.1 Flash (max)

Global Rank
#20
Intelligence Index
37.2%
Blended Price / 1M
$0.2625
Throughput Speed
181 tps
Latency (TTFT)
820 ms
Context Window
1M
Price Efficiency
—
VERIFIED TELEMETRY

Benchmark Evaluations

View Benchmark Suites →
GPQA Diamond (default) 78.0%
SciCode (default) 40.0%
SWE-bench Verified (default) 37.5%
Terminal-Bench 2.0 (default) 37.0%
LiveCodeBench (default) 35.5%

Model Overview & Capabilities

MiniMax M3.1 Flash (officially launched October 19, 2026, following preview as ‘Space Bunny’) holds Rank #20 on our leaderboard with a composite score of 37.2. Built upon a 428-billion parameter Mixture-of-Experts architecture activating 23 billion parameters per token, it scores 37.5% on SWE-bench Verified, 37.0% on Terminal-Bench 2.0, 38.0% on Aider Polyglot, and 76.0% on GPQA Diamond with always-on internal reasoning.

MiniMax bills M3.1 Flash at $0.15 per million input tokens and $0.60 per million output tokens, giving an effective blended price of $0.26 per million tokens under 3:1 weighting and delivering a superior value rating of $0.0071 per index point. The model streams tokens at 181 tokens per second with an initial response latency of 0.70 seconds.

With a 1,000,000-token context window and multi-modal document understanding, MiniMax M3.1 Flash excels at computer use automation, complex spreadsheet and script execution, unit test generation, autonomous browser-based software testing tasks, and end-to-end continuous integration pipeline verification. Its active MoE routing ensures balanced computational density and minimal inference latency during heavy automated workflows.

Pricing Trend History

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Closest Frontier Rivals

Claude Haiku 5.5 #19
Index: 38.6% $0.20/1M
GLM-5.3-Flash #19
Index: 42.1% $0.35/1M
DeepSeek V4.1 Flash (max) #21
Index: 40.0% $0.38/1M
Abdullah Zulfiqar
Abdullah ZulfiqarFounder & Technical EditorLast updated 21 October 2026

Abdullah Zulfiqar is the founder and editor of VibeCoderJournal, an independent publication covering AI coding tools, model benchmarks and developer workflows. His coverage includes Claude Code, Codex CLI, local model setup and benchmark methodology. See the About and Editorial Standards page for scoring definitions, source limitations and correction contacts.

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