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  5. Claude Opus 4.7vsMiniMax M3
Updated Jun 2026

Claude Opus 4.7vsMiniMax M3

MiniMax M3 is cheaper than Claude Opus 4.7 at $0.3/M vs $5/M input tokens.

Claude Opus 4.7 and MiniMax M3 compared across 53 shared prompts
SpecClaude Opus 4.7MiniMax M3
Input price$5/M tokens$0.3/M tokens
Output price$25/M tokens$1.2/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jun 2026
Our Verdict
Claude Opus 4.7
Claude Opus 4.7
MiniMax M3
MiniMax M3Runner-up

Not enough votes to call it. On the specs, Claude Opus 4.7 has the edge: bigger model tier, major provider backing.

MiniMax M3 costs 21x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude Opus 4.7
Input
$5.00
Output
$25.00
MiniMax M3
Input
$0.30
17× cheaper
Output
$1.20
21× cheaper

MiniMax M3 is cheaper on both: 17× input, 21× output.

Where to run it

16 hosts, cheapest first

Claude Opus 4.74 hosts
HostInOutContextUptime
Amazon Bedrock$5.00 in·$25.00 out·1M·97.7% upAzure AI Foundry$5.00 in·$25.00 out·1M·100% upAnthropic$5.00 in·$25.00 out·1M·100% upGoogle Vertex AI$5.00 in·$25.00 out·1M·100% up
MiniMax M312 hosts
HostInOutContextUptime
CCoreWeavefp4$0.23 in·$0.96 out·262k·99.9% upGGMI Cloudfp8$0.24 in·$0.96 out·1M·98.4% upDDeepInfrafp8$0.28 in·$1.10 out·524k·98.9% upAAtlasCloudfp8$0.30 in·$1.20 out·524k·31.1% upMiniMaxfp8$0.30 in·$1.20 out·524k·99.7% upNNovitafp8$0.30 in·$1.20 out·1M·99.4% up
6 more hostsFewer hosts
PParasailfp8$0.30 in·$1.20 out·1M·98.2% upSStreamLakefp8$0.30 in·$1.20 out·1M·99.1% upTTogether$0.30 in·$1.20 out·524k·99.8% upVVenicefp8$0.30 in·$1.20 out·524k·99.9% upSSambaNova$0.60 in·$2.40 out·1M·98.4% upMModelRunfp4$0.75 in·$3.00 out·1M·99.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 9 Sep 2026.

Writing DNA

Style Comparison

Similarity
73%
Claude Opus 4.7
MiniMax M3
64%Vocabulary55%
20wSentence Length24w
0.51Hedging0.52
4.6Bold5.2
3.8Lists3.0
0.86Emoji1.15
1.60Headings1.21
0.03Transitions0.02
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

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