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Comparison of Qwen2.5 Coder 32B Instruct, remove_background_guided, OpenAI: GPT-6.1 Sol
3 modelsqwenQwen2.5 Coder 32B InstructRemove ×Briaremove_background_guidedRemove ×openaiOpenAI: GPT-6.1 SolRemove ×
What’s differentQwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in…Prompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained…Requires Responses API for tools; offers Ultrafast inference with US or EU data residency.
DateNov 6, 2024ListedOct 14, 2026ListedSep 29, 2026Released
Listed rate$0.06 in / $0.20 out/ 1M tokensnscale · via Hugging Face · all routes ↗See provider quotes$2.00 in / $10.00 out/ 1M tokensExperiential · all routes ↗Standard list rate
Provider endpoints4 endpoints →0 endpoints →10 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported51.83 ↗Effort: max · MaxIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,557 ↗Effort: max · MaxIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,593.85 ↗Effort: max · MaxIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported64.87% ↗Effort: max · MaxIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported56.06% ↗Effort: max · MaxHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported54.17% ↗AA · Under reviewEffort: max · MaxIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported52.92% ↗Effort: max · MaxIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported31% ↗Effort: max · MaxIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported31.71% ↗AA · Under reviewEffort: max · MaxIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported41.53 ↗Effort: max · MaxIndependent result
AA-LCR ↗1.1Not reportedNot reported83% ↗Effort: max · MaxIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported85.41% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported82.1% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported83.5% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported88% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported96% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported73% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported82.7% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported92.6% ↗Effort: max · single runIndependent result
Context window131.1K—1.1M
Max output29.5K—128K
Parameters32B——
Tool callingNot reportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputNot reportedNot reportedSupported
ReasoningNot reportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported
Open weightsSupportedNot reportedNot reported

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