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Comparison of Meta: Llama 3.3 70B Instruct, Reflection: Beam 1.0 501B A23B
2 modelsmeta-llamaMeta: Llama 3.3 70B InstructRemove ×reflectionReflection: Beam 1.0 501B A23BRemove ×
What’s differentThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...Apache-2.0 text model with 501B total and 23B active parameters; ships BF16, FP8 and NVFP4 weights.
DateNov 26, 2024ListedOct 16, 2026Released
Listed rate$0.10 in / $0.32 out/ 1M tokensDeepInfra · via OpenRouter · all routes ↗deepinfra/turbo · quantization=fp8$0.25 in / $1.00 out/ 1M tokensNebius · via OpenRouter · all routes ↗nebius/fp8 · quantization=fp8
Provider endpoints17 endpoints →6 endpoints →
AA Intelligence ↗4.3.2Not reported30.33 ↗Effort not specifiedIndependent result
AA-Briefcase ↗1.1Not reported976.2 ↗Effort not specifiedIndependent result
GDPval-AA ↗2.1Not reported1,177.08 ↗Effort not specifiedIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reported48.46% ↗Effort not specifiedIndependent result
Terminal-Bench 4.0 · AA ↗Not reported3.03% ↗Effort not specifiedHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reported48.5% ↗AA · Under reviewEffort not specifiedIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reported34.66% ↗Effort not specifiedIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reported11.6% ↗Effort not specifiedIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reported13.14% ↗AA · Under reviewEffort not specifiedIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reported1.5 ↗Effort not specifiedIndependent result
AA-LCR ↗1.1Not reported78% ↗Effort not specifiedIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported55.5% ↗Effort: max · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported67.9% ↗Effort: max · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported72.8% ↗Effort: max · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported0% ↗Effort: max · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported83.9% ↗Effort: max · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported17.3% ↗Effort: max · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported66.4% ↗Effort: max · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reported80.2% ↗Effort: max · single runIndependent result
Context window131.1K1M
Max output16.4K943.7K
Parameters70B501B
Tool callingSupportedSupported
Structured outputSupportedSupported
ReasoningNot reportedSupported
Prompt cachingNot reportedSupported
Open weightsSupportedSupported

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