ERNIE 5.1 vs Qwen3.7 Max

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingERNIE 5.1Qwen3.7 Max
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#12 of 36$0.057 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Baidu · activeERNIE 5.1Verified Aug 29, 2026
Qwen · activeQwen3.7 MaxVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldERNIE 5.1Qwen3.7 Max
DeveloperBaiduQwen
FamilyErnie 5Qwen3 7
ModelERNIE 5.1Qwen3.7 Max
VersionERNIE 5.1Qwen3.7 Max
Lifecycleactiveactive
ReleasedUnknown2026-05-20
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window131K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessBaidu Qianfan (Standard)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesagents, chat, reasoning, search, toolsagents, chat, generation, reasoning, structured_outputs, tools, vision

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

Qwen3.7 Max Capabilities

agentschatgenerationreasoningstructured outputstoolsvision
Input price$1.475
Output price$4.425
Serving providers4
Canonical IDqwen/qwen3.7-max

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs Qwen3.7 Max FAQs

Is ERNIE 5.1 or Qwen3.7 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and Qwen3.7 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE 5.1 or Qwen3.7 Max?+

ERNIE 5.1 is $4.00 and Qwen3.7 Max is $1.475 per million tokens, so Qwen3.7 Max is cheaper on this metric. ERNIE 5.1 is $18.00 and Qwen3.7 Max is $4.425 per million tokens, so Qwen3.7 Max is cheaper on this metric.

Which has a larger context window, ERNIE 5.1 or Qwen3.7 Max?+

Qwen3.7 Max has the larger sourced context window. ERNIE 5.1 supports 131K and Qwen3.7 Max supports 1,000K.

Which performs better in benchmarks, ERNIE 5.1 or Qwen3.7 Max?+

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 Qwen3.7 Max be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. ERNIE 5.1 is not marked open weight; Qwen3.7 Max is not marked open weight.

Can ERNIE 5.1 and Qwen3.7 Max understand images?+

ERNIE 5.1 is not documented with image input; Qwen3.7 Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or Qwen3.7 Max?+

Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and Qwen3.7 Max is 66K.

Do ERNIE 5.1 and Qwen3.7 Max support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. Qwen3.7 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or Qwen3.7 Max?+

ERNIE 5.1 has 1 sourced provider route; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.

Which offers better value, ERNIE 5.1 or Qwen3.7 Max?+

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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