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Version 1.1.0
Amazon Nova Premier · Evaluations · Kaino
A
model evaluation

Amazon Nova Premier

Amazon Web Services

AWS frontier multimodal foundation model for complex reasoning, coding, tool use, RAG, and agentic enterprise workloads on Bedrock.

multimodalamazon-bedrockaws
75.3KAINO SCORERecommended
Evaluated Jul 31, 202611 reviews
Website Docs GitHub

Scorecard

PricingMultimodalCostDev expTechnicalSpeedCodingReasoningRiskAdoption
  • Developer experience83
  • Pricing clarity81
  • Multimodal & I/O81
  • Technical capability78
  • Cost effectiveness77
  • Speed & availability74
  • Reasoning & knowledge73
  • Risk & evidence73
  • Adoption signal70
  • Coding & agentic63

Kainotomic evaluation

Nova Premier is a capable Bedrock-hosted multimodal model with a 1M-token context window and documented support for reasoning, coding, tool use, RAG, and enterprise agent patterns. Artificial Analysis reports an Intelligence Index of 13, placing the public evidence below the technical profile of GPT-5.5 and Claude Opus 4.8, and closer to lower-mid frontier catalog entries. Its multimodal and Bedrock integration evidence is stronger than DeepSeek-V3.2’s comparatively limited multimodal score, but less independently substantiated than Gemini 3.5 Flash’s leading multimodal position. Coding evidence is mixed. AWS reports 42.4% on SWE-bench Verified, while Amazon’s later technical report lists 31.7% on the specified LiveCodeBench v5 subset. Those results support useful coding ability, but not parity with Kimi K2.5, DeepSeek-V3.2, GPT-5.5, or Opus 4.8 in this catalog. Nova Premier is absent from DeepSWE v1.1, and supplied evidence contains no Terminal-Bench or Aider result. AWS’s Arena-Hard-Auto analysis favors Premier within the Nova family, but overlap with Nova Pro and DeepSeek-R1 intervals and vendor authorship limit the reasoning uplift. At $2.50/M input and $12.50/M output tokens, it is materially cheaper than premium flagship anchors but not a budget leader; 32 output tokens/s and 2.92s TTFT are serviceable rather than leading. Bedrock documentation and AWS samples support a solid developer score. Evidence quality is moderated by reliance on provider-reported benchmarks and sparse independent preference, agentic-workflow, and adoption evidence.

Strengths

  • Documented Bedrock deployment, 1M-token context, multimodal input, tool-use, RAG, and agent-oriented workflows.
  • Moderate published price relative to premium frontier anchors.
  • AWS documentation and Bedrock sample repository provide practical integration material.

Caveats

  • SWE-bench Verified (42.4%) and LiveCodeBench v5 (31.7% on Amazon’s stated subset) do not support top-tier coding scores.
  • Arena-Hard-Auto evidence is provider-authored and chiefly establishes a position within the Nova family.
  • Artificial Analysis speed is adequate but not clearly category-leading.