MiniMax M2.7 vs ERNIE 5.1

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.25Deepinfra · Sep 3, 2026Not reported
Output priceFrom · USD / 1M tokens$1.00Deepinfra · Sep 3, 2026Not reported
Context windowMaximum documented tokens205K131K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkMiniMax-M2.7ERNIE 5.1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,404.6196% of row best · rating · minimax-m2.7; 95% CI [1401.03588542, 1408.19095698]; votes 69169; rank 1381,468.20100% of row best · rating · ernie-5.1; 95% CI [1463.57689002, 1472.81364850]; votes 37058; rank 28
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldMiniMax-M2.7ERNIE 5.1
DeveloperMiniMaxBaidu
FamilyMinimax M2 7Ernie 5
ModelMiniMax-M2.7ERNIE 5.1
VersionMiniMax-M2.7ERNIE 5.1
Lifecycleactiveactive
Released2026-03-18Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window205K131K
Total parameters228.7BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Baidu Qianfan (Standard)
Capabilitieschat, generation, toolsagents, chat, reasoning, search, tools

MiniMax M2.7 Capabilities

chatgenerationtools
Serving providers5
Canonical IDMiniMaxAI/MiniMax-M2.7

ERNIE 5.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-5.1

Primary Evidence

Sources and Freshness

Questions

MiniMax M2.7 vs ERNIE 5.1 FAQs

Is MiniMax M2.7 or ERNIE 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.7 and ERNIE 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M2.7 or ERNIE 5.1?+

MiniMax M2.7 is $0.25 and ERNIE 5.1 is $4.00 per million tokens, so MiniMax M2.7 is cheaper on this metric. MiniMax M2.7 is $1.00 and ERNIE 5.1 is $18.00 per million tokens, so MiniMax M2.7 is cheaper on this metric.

Which has a larger context window, MiniMax M2.7 or ERNIE 5.1?+

MiniMax M2.7 has the larger sourced context window. MiniMax M2.7 supports 205K and ERNIE 5.1 supports 131K.

Which performs better in benchmarks, MiniMax M2.7 or ERNIE 5.1?+

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

Can MiniMax M2.7 or ERNIE 5.1 be self-hosted?+

MiniMax M2.7 is the only model in this pair currently marked as self-hostable. MiniMax M2.7 is open weight; ERNIE 5.1 is not marked open weight.

Can MiniMax M2.7 and ERNIE 5.1 understand images?+

MiniMax M2.7 is not documented with image input; ERNIE 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MiniMax M2.7 or ERNIE 5.1?+

Neither has a larger sourced maximum output. MiniMax M2.7 is — and ERNIE 5.1 is 66K.

Do MiniMax M2.7 and ERNIE 5.1 support reasoning and tool use?+

MiniMax M2.7: tool calling. ERNIE 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MiniMax M2.7 or ERNIE 5.1?+

MiniMax M2.7 has 5 sourced provider routes; ERNIE 5.1 has 1, so MiniMax M2.7 has broader tracked availability.

Which offers better value, MiniMax M2.7 or ERNIE 5.1?+

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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