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Best LLM for Claude Code

Find the best model for Claude Code based on coding capability, agentic performance, and cost — including third-party models via API keys.

Claude Code is Anthropic's agentic coding CLI that works directly from your terminal. While it defaults to Anthropic's Claude models, it also supports third-party models via the --model flag or by configuring API keys for providers like OpenRouter, DeepSeek, and others. This means you're not locked into Anthropic's pricing — you can use open-source and budget models too.

The key question for Claude Code users is whether the premium Anthropic models justify their cost, or whether cheaper alternatives like Kimi K2.5 or DeepSeek R1 deliver enough quality for your workflow. Agentic coding is especially demanding: the model needs to maintain context across multi-step file edits, tool calls, and iterative debugging without losing track.

We ranked models by their effectiveness in real Claude Code workflows — considering agentic task completion, SWE-bench scores, context handling, output speed, and cost per session.

Top Models for Claude Code in 2026

#1
Claude Opus 4.6
Anthropic
Best Overall
In: $5/1M
Out: $25/1M
Ctx: 200K

The most capable model for Claude Code. Opus 4.6 tops SWE-bench Verified at ~80% and handles complex multi-step agentic tasks with minimal supervision. Worth the premium for large refactors, debugging tricky issues, and architectural work.

#2
Claude Sonnet 4.6
Anthropic
Best Daily Driver
In: $3/1M
Out: $15/1M
Ctx: 200K

The default model for most Claude Code users, and for good reason. Sonnet 4.6 delivers ~90% of Opus quality at 60% of the cost, with 64K max output for large file rewrites. The sweet spot for everyday coding.

#3
Kimi K2.5
Moonshot
Best Value
In: $0.35/1M
Out: $1.4/1M
Ctx: 131K

A hidden gem for Claude Code via OpenRouter. Kimi K2.5 scores 85% on LiveCodeBench (competitive programming) and costs just $0.35/1M input — roughly 14x cheaper than Opus. Excellent for routine coding tasks where you want to minimize spend.

#4
DeepSeek R1
DeepSeek
Best Reasoning
In: $0.55/1M
Out: $2.19/1M
Ctx: 128K

DeepSeek R1's chain-of-thought reasoning makes it strong at debugging and complex problem-solving via Claude Code. At $0.55/1M input, it's a fraction of Claude's cost. Works well through the DeepSeek API or OpenRouter.

#5
Claude Opus 4.5
Anthropic
Previous Flagship
In: $5/1M
Out: $25/1M
Ctx: 200K

Still a strong model for Claude Code, though Opus 4.6 is strictly better at the same price. Only choose this if you specifically need the Opus 4.5 behavior for compatibility reasons.

#6
Claude Haiku 4.5
Anthropic
Budget Anthropic
In: $1/1M
Out: $5/1M
Ctx: 200K

The cheapest Anthropic option at $1/1M input. Haiku 4.5 handles simple edits, file generation, and quick fixes well. For complex multi-step tasks, you'll hit its limits — step up to Sonnet or use Kimi K2.5 instead.

#7
Qwen 3.5 397B
Alibaba
Open Source Leader
In: $0.3/1M
Out: $1.2/1M
Ctx: 131K

Alibaba's open-source flagship rivals proprietary models on coding benchmarks. At $0.30/1M input (via hosted providers), it's one of the cheapest options with frontier-level coding ability. Use via OpenRouter with Claude Code.

How We Ranked These Models

Agentic Task Completion
How reliably the model completes multi-step coding tasks autonomously, including file edits, command execution, and iterative debugging in Claude Code's agentic loop.
Coding Benchmarks
Performance on SWE-bench Verified, LiveCodeBench, and other coding benchmarks that measure real-world code generation and bug-fixing ability.
Cost per Session
Total token cost for typical Claude Code sessions (50K-200K tokens). Agentic workflows are token-heavy, so per-token pricing matters more than single-turn use.
Context Window & Speed
How much code the model can see at once and how fast it generates responses. Larger projects need longer context; faster output means shorter wait times.

Frequently Asked Questions