ERNIE 5.1 vs Devstral 2 123B Instruct 2512

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.44Openrouter · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$2.20Openrouter · Aug 29, 2026
Context windowMaximum documented tokens131K262K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldERNIE 5.1Devstral-2-123B-Instruct-2512
DeveloperBaiduMistral AI
FamilyErnie 5Devstral 2 123b Instruct 2512
ModelERNIE 5.1Devstral-2-123B-Instruct-2512
VersionERNIE 5.1Devstral-2-123B-Instruct-2512
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K262K
Total parametersUnknown125B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Openrouter (Standard)
Capabilitiesagents, chat, reasoning, search, toolschat, generation, tools

ERNIE 5.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-5.1

Devstral 2 123B Instruct 2512 Capabilities

chatgenerationtools
Serving providers1
Canonical IDmistralai/Devstral-2-123B-Instruct-2512

Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs Devstral 2 123B Instruct 2512 FAQs

Is ERNIE 5.1 or Devstral 2 123B Instruct 2512 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and Devstral 2 123B Instruct 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE 5.1 or Devstral 2 123B Instruct 2512?+

ERNIE 5.1 is $4.00 and Devstral 2 123B Instruct 2512 is $0.44 per million tokens, so Devstral 2 123B Instruct 2512 is cheaper on this metric. ERNIE 5.1 is $18.00 and Devstral 2 123B Instruct 2512 is $2.20 per million tokens, so Devstral 2 123B Instruct 2512 is cheaper on this metric.

Which has a larger context window, ERNIE 5.1 or Devstral 2 123B Instruct 2512?+

Devstral 2 123B Instruct 2512 has the larger sourced context window. ERNIE 5.1 supports 131K and Devstral 2 123B Instruct 2512 supports 262K.

Which performs better in benchmarks, ERNIE 5.1 or Devstral 2 123B Instruct 2512?+

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

Can ERNIE 5.1 or Devstral 2 123B Instruct 2512 be self-hosted?+

Devstral 2 123B Instruct 2512 is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; Devstral 2 123B Instruct 2512 is open weight.

Can ERNIE 5.1 and Devstral 2 123B Instruct 2512 understand images?+

ERNIE 5.1 is not documented with image input; Devstral 2 123B Instruct 2512 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or Devstral 2 123B Instruct 2512?+

Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and Devstral 2 123B Instruct 2512 is —.

Do ERNIE 5.1 and Devstral 2 123B Instruct 2512 support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. Devstral 2 123B Instruct 2512: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or Devstral 2 123B Instruct 2512?+

ERNIE 5.1 has 1 sourced provider route; Devstral 2 123B Instruct 2512 has 1, a tie.

Which offers better value, ERNIE 5.1 or Devstral 2 123B Instruct 2512?+

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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