Claude Sonnet 4.5 vs ERNIE X1.1

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8UnrankedNot in the 46-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$3.00Anthropic · Sep 3, 2026Not reported
Output priceFrom · USD / 1M tokens$15.00Anthropic · Sep 3, 2026Not reported
Context windowMaximum documented tokens200K66K
Model facts checkedSep 3, 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 →
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

FieldClaude Sonnet 4.5ERNIE X1.1
DeveloperAnthropicBaidu
FamilyClaude 4Ernie X1
ModelClaude Sonnet 4.5ERNIE X1.1
VersionClaude Sonnet 4.5ERNIE X1.1
Lifecycleactiveactive
Released2025-09-292025-09-26
Knowledge cutoff2025-01-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window200K66K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard)Baidu Qianfan (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, reasoning, search, tools

Claude Sonnet 4.5 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDanthropic/claude-sonnet-4-5

ERNIE X1.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-x1.1

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.5 vs ERNIE X1.1 FAQs

Is Claude Sonnet 4.5 or ERNIE X1.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.5 and ERNIE X1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 4.5 or ERNIE X1.1?+

Claude Sonnet 4.5 is $3.00 and ERNIE X1.1 is $1.00 per million tokens, so ERNIE X1.1 is cheaper on this metric. Claude Sonnet 4.5 is $15.00 and ERNIE X1.1 is $4.00 per million tokens, so ERNIE X1.1 is cheaper on this metric.

Which has a larger context window, Claude Sonnet 4.5 or ERNIE X1.1?+

Claude Sonnet 4.5 has the larger sourced context window. Claude Sonnet 4.5 supports 200K and ERNIE X1.1 supports 66K.

Which performs better in benchmarks, Claude Sonnet 4.5 or ERNIE X1.1?+

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

Can Claude Sonnet 4.5 or ERNIE X1.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Sonnet 4.5 is not marked open weight; ERNIE X1.1 is not marked open weight.

Can Claude Sonnet 4.5 and ERNIE X1.1 understand images?+

Claude Sonnet 4.5 is documented with image input; ERNIE X1.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Sonnet 4.5 or ERNIE X1.1?+

ERNIE X1.1 has the larger sourced maximum output: Claude Sonnet 4.5 supports 64K and ERNIE X1.1 supports 66K output tokens.

Do Claude Sonnet 4.5 and ERNIE X1.1 support reasoning and tool use?+

Claude Sonnet 4.5: reasoning, tool calling, and image input. ERNIE X1.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 4.5 or ERNIE X1.1?+

Claude Sonnet 4.5 has 1 sourced provider route; ERNIE X1.1 has 1, a tie.

Which offers better value, Claude Sonnet 4.5 or ERNIE X1.1?+

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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