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Model Comparison for Coding

ModelSpeedCode QualityCostContext WindowBest For
claude-opus-4-6ModerateExcellent$$$$200KArchitecture, complex refactoring
gpt-5.4ModerateExcellent$$$$200KComplex reasoning, planning
claude-sonnet-4-6FastVery Good$$$200KGeneral coding, reviews
gemini-3.1-pro-previewFastVery Good$$$1MLarge codebase analysis
gpt-5-miniVery FastGood$$128KQuick edits, completions
gemini-3.5-flashVery FastGood$$1MFast iteration, search
deepseek-v4-proModerateVery Good$1MReasoning-heavy tasks
deepseek-v4-flashFastGood$1MBulk generation, boilerplate
For the newer coding-oriented pool, also consider qwen-long-latest for very large repositories, minimax-m3 for large-context agent work, kimi-k2.7-code-highspeed for fast coding loops, and deepseek-v4-pro / deepseek-v4-flash, glm-5.2, step-3.7-flash, and mimo-v2.5-pro for OpenAI-compatible chat requests.

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Task-Specific Recommendations

Recommended: claude-sonnet-4-6, gemini-3.1-pro-previewThese models produce clean, well-structured code with good naming conventions. For complex multi-file scaffolding, consider claude-opus-4-6.Budget alternative: deepseek-v4-flash handles boilerplate well at a fraction of the cost.
Recommended: claude-sonnet-4-6, deepseek-v4-proCode review benefits from reasoning ability. deepseek-v4-pro is particularly cost-effective here — its chain-of-thought approach catches subtle issues.For security-focused reviews: claude-opus-4-6 or gpt-5.4.
Recommended: claude-sonnet-4-6, gpt-5-miniBug fixing is usually well-scoped — you know what’s broken. Standard-tier models handle this well. Use premium models only for complex, multi-file bugs.
Recommended: claude-opus-4-6, gpt-5.4Architecture decisions benefit from the strongest reasoning. Worth the premium cost since these decisions are infrequent but high-impact.
Recommended: gpt-5-mini, gemini-3.5-flashSpeed is critical for interactive use. Budget models with fast response times provide the best experience. Don’t waste premium tokens on autocomplete.

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Provider Selection

TokenLab selects an available provider for the requested model automatically.

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Selection Strategies

StrategyBehaviorBest For
PRIORITYUses the highest-priority available providerReliability-focused
COSTUses the lowest-cost available providerCost-focused
You can set your preferred strategy in the dashboard.

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Automatic Retry

If a provider is unavailable or returns an error, TokenLab automatically retries with another available provider: 
Request: claude-sonnet-4-6
  → Provider A (primary): 503 error
  → Provider B (retry): ✓ Success
This happens transparently — your coding agent sees a normal response.

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Native API Formats

When the selected model supports a native API format, TokenLab can use that format for better compatibility:
Model FamilyAPI FormatBase URL
ClaudeAnthropic Messageshttps://api.tokenlab.sh
GPTOpenAI Responseshttps://api.tokenlab.sh/v1
GeminiGemini Native APIhttps://api.tokenlab.sh or https://api.tokenlab.sh/v1beta depending on client path
DeepSeekOpenAI Chathttps://api.tokenlab.sh/v1
Claude Code is a strong native Anthropic path. Gemini-native APIs exist too, but Gemini CLI itself remains a best-effort compatibility path rather than a guaranteed long-term workflow.

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Configuration per Tool

export ANTHROPIC_API_KEY="sk-your-tokenlab-key"
export ANTHROPIC_BASE_URL="https://api.tokenlab.sh"
Select model: claude --model claude-sonnet-4-6Full guide →
In Settings → Models:
  • API Key: sk-your-tokenlab-key
  • Base URL: https://api.tokenlab.sh/v1
  • Model: claude-sonnet-4-6 or gpt-5-mini
Full guide →
export OPENAI_API_KEY="sk-your-tokenlab-key"
export OPENAI_BASE_URL="https://api.tokenlab.sh/v1"
Full guide →
export GEMINI_API_KEY="sk-your-tokenlab-key"
export GOOGLE_GEMINI_BASE_URL="https://api.tokenlab.sh"
Treat this as best-effort compatibility rather than an official Gemini CLI integration.Full guide →
{
  "provider": "openai",
  "apiKey": "sk-your-tokenlab-key",
  "baseURL": "https://api.tokenlab.sh/v1"
}
Full guide →