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  5. Claude Haiku 4.5vsMiniMax M3
Updated Jun 2026

Claude Haiku 4.5vsMiniMax M3

MiniMax M3 is cheaper than Claude Haiku 4.5 at $0.3/M vs $1/M input tokens.

Claude Haiku 4.5 and MiniMax M3 compared across 52 shared prompts
SpecClaude Haiku 4.5MiniMax M3
Input price$1/M tokens$0.3/M tokens
Output price$5/M tokens$1.2/M tokens
Context window200K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedOct 2025Jun 2026
Our Verdict
Claude Haiku 4.5
Claude Haiku 4.5
MiniMax M3
MiniMax M3

Not enough votes to call it. On the specs, nothing separates them.

MiniMax M3 costs 4.2x less per token.

Too close to call
API pricing

Cost per 1M tokens

Claude Haiku 4.5
Input
$1.00
Output
$5.00
MiniMax M3
Input
$0.30
3.3× cheaper
Output
$1.20
4.2× cheaper

MiniMax M3 is cheaper on both: 3.3× input, 4.2× output.

Where to run it

16 hosts, cheapest first

Claude Haiku 4.54 hosts
HostInOutContextUptime
Amazon Bedrock$1.00 in·$5.00 out·200k·100% upAnthropic$1.00 in·$5.00 out·200k·99.9% upAzure AI Foundry$1.00 in·$5.00 out·200k·99.9% upGoogle Vertex AI$1.00 in·$5.00 out·200k·99.9% 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
60%

Claude Haiku 4.5 uses 7.0x more transitions

Claude Haiku 4.5
MiniMax M3
61%Vocabulary55%
47wSentence Length24w
0.64Hedging0.52
5.1Bold5.2
6.3Lists3.0
0.20Emoji1.15
2.46Headings1.21
0.17Transitions0.02
Based on 24 + 27 text responses
Research

What we learned reading every model

FAQ

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