ERNIE 5.1 vs Mistral Large 3

Benchmark Performance

Available Benchmarks

BenchmarkERNIE 5.1Mistral Large 3
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,468.10100% of row best · rating · ernie-5.1; 95% CI [1463.48233336, 1472.72453179]; votes 37137; rank 251,427.6297% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85
Overall ResultCounted from the protocol-matched rows above1 benchmark winOverall lead0 benchmark wins

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

FieldAt a Glance
Baidu · activeERNIE 5.1Verified Aug 29, 2026
Mistral AI · activeMistral Large 3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldERNIE 5.1Mistral Large 3
DeveloperBaiduMistral AI
FamilyErnie 5Mistral Large 3
ModelERNIE 5.1Mistral Large 3
VersionERNIE 5.1Mistral Large 3
Lifecycleactiveactive
ReleasedUnknown2025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Document
Output modalitiesTextText
Context window131K262K
Total parametersUnknown675B
Active parametersUnknown41B
LicenseUnknownApache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Mistral AI (Standard), Openrouter (Standard)
Capabilitiesagents, chat, reasoning, search, toolsagents, chat, generation, structured_outputs, tools, vision

13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

ERNIE 5.1 Capabilities

agentschatreasoningsearchtools
Input price$4.00
Output price$18.00
Serving providers1
Canonical IDbaidu/ernie-5.1

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Input price$0.50
Output price$1.50
Serving providers2
Canonical IDmistralai/mistral-large-2512

Internal Comparison Graph

Related Comparisons

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APairBContext
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Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs Mistral Large 3 FAQs

Is ERNIE 5.1 or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE 5.1 or Mistral Large 3?+

ERNIE 5.1 is $4.00 and Mistral Large 3 is $0.50 per million tokens, so Mistral Large 3 is cheaper on this metric. ERNIE 5.1 is $18.00 and Mistral Large 3 is $1.50 per million tokens, so Mistral Large 3 is cheaper on this metric.

Which has a larger context window, ERNIE 5.1 or Mistral Large 3?+

Mistral Large 3 has the larger sourced context window. ERNIE 5.1 supports 131K and Mistral Large 3 supports 262K.

Which performs better in benchmarks, ERNIE 5.1 or Mistral Large 3?+

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 Mistral Large 3 be self-hosted?+

Mistral Large 3 is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; Mistral Large 3 is open weight.

Can ERNIE 5.1 and Mistral Large 3 understand images?+

ERNIE 5.1 is not documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or Mistral Large 3?+

Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and Mistral Large 3 is —.

Do ERNIE 5.1 and Mistral Large 3 support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or Mistral Large 3?+

ERNIE 5.1 has 1 sourced provider route; Mistral Large 3 has 2, so Mistral Large 3 has broader tracked availability.

Which offers better value, ERNIE 5.1 or Mistral Large 3?+

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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