Best LLM for Cline
Find the best AI model for Cline VS Code extension based on agentic coding quality, cost-effectiveness, and tool-use reliability.
Cline is a bring-your-own-key (BYOK) agentic coding assistant for VS Code that operates through an autonomous loop: reading files, writing code, running commands, and iterating until the task is complete. Because you pay per token through your own API key, model selection is critical for both quality and cost. Unlike subscription-based tools, every token counts directly against your wallet.
The landscape has shifted a lot by mid-2026. Million-token context windows are now standard at the top of the market, Claude Sonnet 5 launched at the end of June with introductory pricing of $2/$10 per 1M tokens through August, and DeepSeek's V4 family made its 75% launch discount permanent, pushing serious agentic coding down to fractions of a cent per session. What makes Cline different from standard code completion tools is its agentic nature: the model needs to reliably call tools (file read, file write, terminal commands), maintain context across many iterations, and self-correct when something goes wrong. Cline supports any model through OpenRouter, direct API access, or local inference.
We ranked models by their effectiveness in real Cline workflows, considering tool-use reliability, agentic task completion rates, coding benchmarks, and cost per session. Cost is weighted more heavily here than in our other rankings because Cline users pay directly per token, making affordable models especially attractive for heavy daily usage. As always, treat rankings as a starting point; the right pick depends on your codebase and budget.
Top Models for Cline in 2026
The strongest quality-per-dollar pick for Cline right now. Sonnet 5 scores 85.2 on SWE-bench Verified, roughly matches Opus 4.8 on agentic evals, and offers a full 1M context with no long-context surcharge. Introductory pricing of $2/$10 per 1M tokens runs through August 31, 2026, which makes it unusually cheap for a frontier model in a BYOK tool.
Anthropic's flagship and arguably the most dependable model in Cline's agentic loop, with 88.6 on SWE-bench Verified and 69.2 on SWE-bench Pro. At $5/$25 it is a premium choice for BYOK, but for gnarly multi-file refactors where a failed run costs more than the tokens, it tends to pay for itself.
The cheapest model we would trust with real Cline work. At $0.14/1M input and $0.28/1M output with a 1M context, V4-Flash makes heavy daily agentic usage cost pocket change. It will not match V4-Pro on hard debugging, but for routine edits, tests, and boilerplate it is remarkably capable. The same peak-hour doubling as V4-Pro applies.
Frontier-adjacent agentic coding at roughly a tenth of Sonnet 5's price. V4-Pro pairs a 1M context with three reasoning modes and near-free cache hits, and the 75% launch discount was made permanent in May. One caveat: from the mid-July GA launch, rates double during Beijing peak hours, so off-peak Cline sessions are the real bargain.
An Apache 2.0 coding specialist (80B MoE, 3B active) that scores 70.6 on SWE-bench Verified and routes through OpenRouter for as little as $0.11/1M input. A popular pick in the Cline community for keeping monthly bills near zero, with the option to self-host. The 256K context is the main limitation on very large codebases.
The balanced tier of OpenAI's new GPT-5.6 family, positioned as GPT-5.5-class quality at half the price ($2.50/$15 versus $5/$30). The catch for Cline users: as of July 2026 it is still in limited preview, so access is not guaranteed. If you cannot get in, GPT-5.5 remains the generally available OpenAI option, just at twice the cost.
Fast responses, a 1M context window, and $0.50/1M input make Gemini 3 Flash a strong choice for iterative Cline work where feedback speed matters more than peak reasoning. Note that thinking is on by default and thinking tokens bill as output, so real session costs run somewhat above the sticker rate.
A solid middle ground: 1M context, strong general coding ability, and pricing that undercuts the Anthropic and OpenAI flagships at $2/1M input. Gemini 3.1 Pro handles Cline's tool loop well and is a sensible default for developers already in the Google ecosystem, though its agentic benchmarks trail the top two picks.
How We Ranked These Models
Order is computed, not hand-picked. Each model is scored on the published pass-rate suites it has (SWE-bench Verified 0.5, Terminal-Bench 2.1 0.5), renormalised over the suites present, then charged 5 quality points for every doubling of its blended price (3:1 input-to-output tokens). Models with no published score are never given one: they are listed after every scored model, ordered by price, and labelled as unscored. Cline is bring-your-own-key, so every token is billed to the reader and price presses harder here than on any other page: every halving of the blended price is worth 5 points of pass rate. Its loop is half file editing and half shell, so the two suites are weighted equally, and a 200K context floor keeps out models that cannot hold a working set. See the full ranking method.