MiniMax M3 vs ERNIE 4.5 0.3B PT

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingMiniMax-M3ERNIE-4.5-0.3B-PT
CostLower is better · Published-token output estimate#4 of 36$0.017 per LiveBench caseUnrankedNot in the 36-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
MiniMax · activeMiniMax M3Verified Aug 28, 2026
Baidu · activeERNIE 4.5 0.3B PTVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMiniMax-M3ERNIE-4.5-0.3B-PT
DeveloperMiniMaxBaidu
FamilyMinimax M3Ernie 4 5 0 3b Pt
ModelMiniMax-M3ERNIE-4.5-0.3B-PT
VersionMiniMax-M3ERNIE-4.5-0.3B-PT
Lifecycleactiveactive
Released2026-06-01Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K131K
Total parameters427B360.7M
Active parameters23BUnknown
Licenseotherapache-2.0
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, toolschat, generation

13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

MiniMax M3 Capabilities

chatgenerationreasoningtools
Input price$0.28
Output price$1.10
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M3

ERNIE 4.5 0.3B PT Capabilities

chatgeneration
Input price
Output price
Serving providers0
Canonical IDbaidu/ERNIE-4.5-0.3B-PT

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

MiniMax M3 vs ERNIE 4.5 0.3B PT FAQs

Is MiniMax M3 or ERNIE 4.5 0.3B PT better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and ERNIE 4.5 0.3B PT, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or ERNIE 4.5 0.3B PT?+

Only MiniMax M3 has a directly sourced input price: $0.28 per million tokens. Only MiniMax M3 has a directly sourced output price: $1.10 per million tokens.

Which has a larger context window, MiniMax M3 or ERNIE 4.5 0.3B PT?+

MiniMax M3 has the larger sourced context window. MiniMax M3 supports 1,049K and ERNIE 4.5 0.3B PT supports 131K.

Which performs better in benchmarks, MiniMax M3 or ERNIE 4.5 0.3B PT?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can MiniMax M3 or ERNIE 4.5 0.3B PT be self-hosted?+

Both models have the same recorded self-hosting status: supported. MiniMax M3 is open weight; ERNIE 4.5 0.3B PT is open weight.

Can MiniMax M3 and ERNIE 4.5 0.3B PT understand images?+

MiniMax M3 is documented with image input; ERNIE 4.5 0.3B PT is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M3 or ERNIE 4.5 0.3B PT?+

Neither has a larger sourced maximum output. MiniMax M3 is — and ERNIE 4.5 0.3B PT is —.

Do MiniMax M3 and ERNIE 4.5 0.3B PT support reasoning and tool use?+

MiniMax M3: reasoning, tool calling, and image input. ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M3 or ERNIE 4.5 0.3B PT?+

MiniMax M3 has 5 sourced provider routes; ERNIE 4.5 0.3B PT has 0, so MiniMax M3 has broader tracked availability.

Which offers better value, MiniMax M3 or ERNIE 4.5 0.3B PT?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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