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MiniMax M3

Open weights MiniMax 2026-06 1M context

Efficient on light hardware with a 1M open-weight context, but essentially no agent ability

Intelligence v5
— v4.3.2 29.2
Leaderboard rank
—
Input / output
$0.25/$1.00
Blended 3:1
$0.44
Output speed
126 tok/s
Value
—
Capability profile Normalised to the field maximum
Specifications
Vendor
MiniMax
Released
2026-06
Weights
Open (MiniMax Community License)
Context
1,000,000 tokens
Max output
Undisclosed
Parameters
428B total / 23B active
Input price
$0.25 / 1M
Output price
$1.00 / 1M
Cache hit
n/a
Output speed
126 tok/s
Intelligence
29.2(v4.3.2)

Benchmark scores

How it is measured →

Bars are scaled to the field maximum for that benchmark.

BenchmarksScoreVs. best in fieldGap
AA Intelligence Index v5——not indexed
AA Intelligence Index v4.3.2 Intelligence index (legacy) 29.251% −28.4 pts
GPQA Diamond Graduate-level science reasoning 90.994% −5.5 pts
Terminal-Bench 4.0 Terminal-agent tasks 1.02% −64.2 pts
LiveBench Design——not indexed
Vals Index Vals composite index 29.140% −44.0 pts

Assessment

428B/23B with 1M context. Terminal-Bench 4.0 is just 1.0% and APEX-Agents 37.7%, which says it is built for single-turn knowledge questions rather than multi-step tool use. GPQA 90.9 is close to the leaders — a knowledge-first open model.

At the same price

The four models closest on blended price, side by side.

Modelv5Blendedtok/sScore gap
DeepSeek V4.1 Flash Open weightsDeepSeek 32.5 $0.53 148 —
MiMo-V2.6 Pro Open weightsXiaomi 30.0 $0.61 81 —
MiniMax M3.1 FlashMiniMax 29.0 $0.26 118 —
Claude Haiku 5.5Anthropic 36.2 $0.20 235 —

Compare side by side

Line it up against other models on price, speed and every benchmark.

The comparison tool lines up to 4 models side by side with switchable normalisation — built for purchasing decisions.

Open the comparison tool → Back to leaderboard

Related benchmarks