Vercel AI SDK shipped @ai-sdk/openai@3.0.121 and @ai-sdk/openai@2.0.132 on 2026-09-30, adding native GPT-6.1 Sol (gpt-6.1-sol) support on the v5/v6 provider lines (#21747, backport #21749). Official pricing: $2/$10 per 1M tokens (cached input $0.10), 1.05M context, 128k max output.

Key Takeaways

  • ✓Shipped @ai-sdk/openai@3.0.121 and @2.0.132 with GPT-6.1 Sol (#21747 / #21749)
  • ✓Model id gpt-6.1-sol; specs $2/$10 per 1M, cached input $0.10, 1.05M context, 128k max out
  • ✓Mid-tier coding/computer-use path vs Astra; aligns with Codex defaulting to Sol
  • ✓Upgrade: npm i @ai-sdk/openai@3.0.121 (or 2.0.132 on v5 line)
  • ✓Docs: OpenAI provider
Vercel AI SDK: `@ai-sdk/openai` 3.0.121 / 2.0.132 add native GPT-6.1 Sol support
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In-Depth Technical Analysis

Background

After GPT-6.1 Sol became OpenAI’s mid-tier coding/computer-use default candidate (and Codex 0.159.1 defaulted to it), AI SDK apps needed first-class provider support instead of opaque model strings.

What shipped

@ai-sdk/openai@3.0.121 and @2.0.132 register GPT-6.1 Sol (#21747 / #21749). Docs: OpenAI provider.

Benchmarks

No SWE-bench in the SDK notes. Official model specs: $2/$10 per 1M, cached input $0.10, 1.05M context, 128k max out. Validate Astra vs Sol on your tasks.

Get started

npm i @ai-sdk/openai@3.0.121 (or 2.0.132 on the v5 line); set model: 'gpt-6.1-sol'.

Action HubReady to adopt this in production?

Benchmark side-by-side against alternatives, or calculate monthly token cost vs subscription break-even.

Up NextCline 4.1.22: GPT-6.1 Sol becomes default across gateways; Anthropic server-side refusal fallback; Bee & Pareto providers
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