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    Best Models for Coding

    Frontier and open-weight models for code generation, review, and agentic coding — compared by price and context window

    Compare
    Use Case
    Capabilities
    Provider
    Status
    Input Price ($/M tokens)
    Output Price ($/M tokens)
    Context Size (tokens)
    37/351
    Models
    36/51
    Providers
    23
    Vision Models (filtered)
    34
    Tool-enabled (filtered)
    0
    Free Models (filtered)
    Features
    Alibaba Cloud(singapore)
    deepseek-v4-pro
    		$2.40$4.80$0.20
    Alibaba Cloud(us-virginia)
    deepseek-v4-pro
    		$2.40$4.80$0.20
    ByteDance
    deepseek-v4-pro
    		$1.32$3.96$0.04
    Fireworks AI
    deepseek-v4-pro
    		$1.32$3.96$0.04
    Alibaba Cloud
    deepseek-v4-pro
    		$2.40$4.80$0.20
    Nebius AI
    deepseek-v3.2
    		$0.30$0.45—
    ByteDance
    deepseek-v3.2
    		$0.28$0.42$0.06
    Vertex AI (OpenAI-compatible)
    deepseek-v3.2
    		$0.56$1.68$0.06
    NovitaAI
    deepseek-v3.2
    		$0.27$0.40$0.13
    Alibaba Cloud
    deepseek-v3.2
    		$0.57$1.71$0.11
    ByteDance
    deepseek-v3.2
    		$0.28$0.42$0.06
    NovitaAI
    deepseek-v3.2
    		$0.27$0.40$0.13
    DeepInfra
    deepseek-v3.2
    		$0.26$0.38$0.13
    DeepInfra
    deepseek-v3.2
    		$0.26$0.38$0.13
    Vertex AI (OpenAI-compatible)
    deepseek-v3.2
    		$0.56$1.68$0.06
    DeepSeek
    deepseek-v3.2
    $0.28$0.24
    -15% off
    $0.42$0.36
    -15% off
    $0.03$0.02
    -15% off
    xAI
    grok-build-0-1
    		$1.00$2.00$0.20
    xAI
    grok-build-0-1
    		$1.00$2.00$0.20
    AWS Bedrock(global)
    grok-4-3
    		$1.25$2.50$0.20
    AWS Bedrock(us-west-2)
    grok-4-3
    		$1.38$2.75$0.22
    AWS Bedrock(us)
    grok-4-3
    		$1.38$2.75$0.22
    AWS Bedrock
    grok-4-3
    		$1.25$2.50$0.20
    xAI
    grok-4-3
    		$1.25$2.50$0.20
    Azure AI Foundry
    grok-4-3
    		$1.25$2.50$0.20
    AWS Bedrock
    grok-4-3
    		$1.25$2.50$0.20
    xAI
    grok-4-3
    		$1.25$2.50$0.20
    Azure AI Foundry
    grok-4-3
    		$1.25$2.50$0.20
    Google Vertex AI
    gemini-3.5-flash
    		$1.50$9.00$0.15
    Google AI Studio
    gemini-3.5-flash
    		$1.50$9.00$0.15
    Google Vertex AI
    gemini-3.5-flash
    		$1.50$9.00$0.15
    Google AI Studio
    gemini-3.5-flash
    		$1.50$9.00$0.15
    Google AI Studio
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Quartz
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Google Vertex AI
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Google AI Studio
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Google Vertex AI
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Iceberg
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Iceberg
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Quartz
    gemini-3.1-pro-preview
    		$2.00$12.00$0.20
    Google AI Studio
    gemini-pro-latest
    		$2.00$12.00$0.20
    Google AI Studio
    gemini-pro-latest
    		$2.00$12.00$0.20
    AWS Bedrock(jp)
    claude-opus-4-8
    		$5.50$27.50$0.55
    Anthropic
    claude-opus-4-8
    $5.00$4.75
    -5% off
    $25.00$23.75
    -5% off
    $0.50$0.47
    -5% off
    AWS Bedrock
    claude-opus-4-8
    		$5.00$25.00$0.50
    AWS Bedrock(global)
    claude-opus-4-8
    		$5.00$25.00$0.50
    AWS Bedrock(eu)
    claude-opus-4-8
    		$5.50$27.50$0.55
    AWS Bedrock(au)
    claude-opus-4-8
    		$5.50$27.50$0.55
    Anthropic
    claude-opus-4-8
    $5.00$4.75
    -5% off
    $25.00$23.75
    -5% off
    $0.50$0.47
    -5% off
    AWS Bedrock
    claude-opus-4-8
    		$5.00$25.00$0.50
    AWS Bedrock(us)
    claude-opus-4-8
    		$5.50$27.50$0.55
    Page 4 of 6

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    • Best for Roleplay
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    Providers

    • OpenAI
    • Anthropic
    • Google AI Studio
    • Google Vertex AI
    • Vertex AI (OpenAI-compatible)
    • Vertex AI (Anthropic)
    • Groq
    • Cerebras
    • xAI
    • DeepSeek
    • Alibaba Cloud
    • NovitaAI
    • AtlasCloud
    • AWS Bedrock
    • AWS Mantle
    • Azure
    • Azure AI Foundry
    • Z AI
    • Moonshot AI
    • Baidu
    • Perplexity
    • Nebius AI
    • Mistral AI
    • CanopyWave
    • Inference.net
    • Together AI
    • SCX.ai (Turbo)
    • SCX.ai
    • ByteDance
    • MiniMax
    • EmberCloud
    • Meta
    • Sakana AI
    • Xiaomi
    • DeepInfra
    • ElevenLabs
    • Runware
    • Gonka24
    • Fireworks AI

    © 2026 OffRail. All rights reserved.

    The best coding models combine strong code generation with reliable tool calling, since modern coding agents lean on function calls to edit files and run commands. This page tracks the models developers actually ship with: Anthropic's Claude series, OpenAI's Codex line, Google's Gemini Pro, and fast-improving open-weight options like Qwen3 Coder, Kimi K2.7 Code, GLM, and DeepSeek.

    Access every one of them through a single OpenAI-compatible API with automatic failover, so your coding agent, IDE plugin, or CI pipeline can switch between frontier and budget models without code changes — and you can track exactly what each tool spends.

    Frequently asked questions

    What is the best LLM for coding?

    Claude Sonnet 5 and Claude Opus 4.8 lead most real-world coding evaluations, with OpenAI's GPT-5.3 Codex and Google's Gemini 3.1 Pro close behind. Among open-weight models, Qwen3 Coder, Kimi K2.7 Code, GLM-5.2, and DeepSeek V4 deliver strong results at a fraction of the price.

    What is the cheapest model that is still good at coding?

    Qwen3 Coder 30B (about $0.07 per million input tokens), GLM-4.7 Flash, and DeepSeek V4 Flash are the standouts for budget coding. They handle everyday completion, refactoring, and code review well and are cheap enough to run on every commit.

    Can I use these models with coding agents like Cline or Aider?

    Yes. Any agent that supports an OpenAI-compatible endpoint or custom base URL can route through OffRail with one API key — that includes Cline, Aider, and Roo Code — so you can mix models per task and see per-agent cost analytics.

    Do coding models need tool calling?

    For agentic workflows, yes. Editing files, running tests, and searching a repo all happen through function calls, so pick a model with reliable tool calling — the capability icons in the list above show which provider mappings support tools. For plain autocomplete or one-shot generation, tool calling is optional.

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