ERNIE 5.1 vs GPT-5.1

Benchmark Performance

Available Benchmarks

BenchmarkERNIE 5.1GPT-5.1
LMArena Search Arenasearch-2026-08-24-011508720696 · arena_rating · leader1,226.96100% of row best · rating · ernie-5.1; 95% CI [1217.24505738, 1236.67203321]; votes 3788; rank 61,199.4498% of row best · rating · gpt-5.1-search; 95% CI [1194.20592738, 1204.68165473]; votes 59909; rank 14
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 251,422.4797% of row best · rating · gpt-5.1; 95% CI [1418.85253526, 1426.08681113]; votes 43002; rank 96
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall 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
OpenAI · activeGPT-5.1Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldERNIE 5.1GPT-5.1
DeveloperBaiduOpenAI
FamilyErnie 5Gpt 5 1
ModelERNIE 5.1GPT-5.1
VersionERNIE 5.1GPT-5.1
Lifecycleactiveactive
ReleasedUnknown2025-11-13
Knowledge cutoffUnknown2024-09-30
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K400K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessBaidu Qianfan (Standard)Openai (Standard), Openrouter (Standard)
Capabilitiesagents, chat, reasoning, search, toolschat, generation, reasoning, structured_outputs, tools

13 comparable fields · 8 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

GPT-5.1 Capabilities

chatgenerationreasoningstructured outputstools
Input price$1.25
Output price$10.00
Serving providers2
Canonical IDopenai/gpt-5.1

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs GPT-5.1 FAQs

Is ERNIE 5.1 or GPT-5.1 better for coding?+

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

Which is cheaper, ERNIE 5.1 or GPT-5.1?+

ERNIE 5.1 is $4.00 and GPT-5.1 is $1.25 per million tokens, so GPT-5.1 is cheaper on this metric. ERNIE 5.1 is $18.00 and GPT-5.1 is $10.00 per million tokens, so GPT-5.1 is cheaper on this metric.

Which has a larger context window, ERNIE 5.1 or GPT-5.1?+

GPT-5.1 has the larger sourced context window. ERNIE 5.1 supports 131K and GPT-5.1 supports 400K.

Which performs better in benchmarks, ERNIE 5.1 or GPT-5.1?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can ERNIE 5.1 or GPT-5.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. ERNIE 5.1 is not marked open weight; GPT-5.1 is not marked open weight.

Can ERNIE 5.1 and GPT-5.1 understand images?+

ERNIE 5.1 is not documented with image input; GPT-5.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or GPT-5.1?+

GPT-5.1 has the larger sourced maximum output: ERNIE 5.1 supports 66K and GPT-5.1 supports 128K output tokens.

Do ERNIE 5.1 and GPT-5.1 support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. GPT-5.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or GPT-5.1?+

ERNIE 5.1 has 1 sourced provider route; GPT-5.1 has 2, so GPT-5.1 has broader tracked availability.

Which offers better value, ERNIE 5.1 or GPT-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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