Best AI Coding Agent 2026, Ranked by Benchmarks
Codex CLI leads Terminal-Bench 2.1, while Claude Code wins on depth and opencode leads open source by stars.

Codex CLI with GPT-5.5 leads Terminal-Bench 2.1, while Claude Code and opencode win on depth and open-source adoption.
Codex CLI with GPT-5.5 hit 83.4% on Terminal-Bench 2.1, and Claude Code with Opus 4.8 followed at 78.9%. On the pricing side, GitHub Copilot Pro starts at $10 a month, while Claude Code, OpenAI Codex CLI, and opencode draw very different lines around model access, subscriptions, and BYOK setups.
| Agent | Default model | Top score | Entry price | Source |
|---|---|---|---|---|
| Codex CLI | GPT-5.5 | 83.4% Terminal-Bench 2.1 | Free | Apache-2.0, 94,277 stars |
| Claude Code | Opus 4.8 | 78.9% Terminal-Bench 2.1 | $20/mo Pro | Proprietary, 134,868 stars |
| opencode | BYOK | n/a public pair score | Free | MIT, 180,312 stars |
| GitHub Copilot | Haiku 4.5 / GPT-5 mini | n/a public pair score | $10/mo Pro | Proprietary |
| Windsurf (Devin Desktop) | SWE 1.6 + OSS models | n/a public pair score | Free | Proprietary, Cognition |
Terminal-Bench 2.1 is the score that matters here
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Terminal-Bench 2.1 matters because it tests the whole loop: editing files, running commands, fixing failures, and keeping state across a messy terminal session. That is much closer to real coding work than a single-shot coding prompt, and it explains why the same model can rank differently inside different agents.

The public leaderboard at tbench.ai gives a clean read on usable pairings. As of June 28, 2026, the top entries include Codex CLI plus GPT-5.5 at 83.4%, Claude Code plus Opus 4.8 at 78.9%, and Terminus 2 plus GPT-5.5 at 78.2%.
- Codex CLI + GPT-5.5: 83.4%
- Claude Code + Opus 4.8: 78.9%
- Gemini CLI + Gemini 3.1 Pro: 70.7%
- Claude Code + Opus 4.7: 69.7%
That spread is big enough to matter in daily use. A 4 to 8 point difference on a terminal benchmark often means fewer dead ends, fewer broken edits, and less babysitting when the agent has to recover from a failed command.
Claude Code is the strongest paid option for hard problems
Claude Code is the agent I would pick when the job is hard reasoning inside a terminal, not just autocomplete in an editor. With Claude Opus 4.8, it posts 78.9% on Terminal-Bench 2.1 and 69.2% on SWE-bench Pro, which is strong enough to keep it near the top even after the Codex CLI result.
"Claude Code is Anthropic’s terminal-first coding assistant." — Anthropic
The product also has the kind of workflow extras that matter once you use it every day: MCP support, sub-agents, background and cloud sessions, CLAUDE.md memory, hooks, and skills. That makes it feel less like a chat box and more like a tool you can actually shape around a team’s habits.
Pricing is straightforward, but the limits are not trivial. Claude Pro costs $20 per month, or $17 per month on annual billing, and the same subscription covers Claude Code plus Claude.ai and Claude Desktop inside a five-hour rolling session window with a weekly cap. Max starts at $100 per month, and Max 20x reaches $200 per month.
Open source is crowded, and opencode leads by adoption
If your main filter is source code and community traction, opencode is the biggest name in the open-source camp. The repo has 180,312 GitHub stars and an MIT license, which puts it ahead of Claude Code at 134,868 stars, Gemini CLI at 105,641 stars, and OpenAI Codex at 94,277 stars.

That star count does not tell you which agent is best at fixing bugs, but it does tell you where developers are spending attention. opencode, Cline, Aider, Kilo Code, and Zed all appeal to people who want to bring their own model and keep control over cost.
- opencode: 180,312 stars, MIT
- Claude Code: 134,868 stars, proprietary
- Gemini CLI: 105,641 stars, Apache-2.0
- OpenAI Codex: 94,277 stars, Apache-2.0
- Zed: 86,147 stars, OSS Rust
The trade-off is simple. Open-source agents are free as tools, but you pay for model usage yourself. That can be cheaper for heavy users with the right API mix, or more expensive if you pick a pricey frontier model and run long sessions all day.
Pricing tells a different story than benchmarks
Benchmarks reward capability, while pricing rewards restraint. Cursor starts at $20 per month for Pro, GitHub Copilot starts at $10 per month for Pro, and Windsurf now points users into Devin after Cognition folded Windsurf into Devin Desktop.
That Windsurf move matters because it changed the meaning of a familiar free tier. The old Windsurf editor is now the Devin Free tier at $0 per month, with unlimited Tab completions and inline edits, a light agent quota, and limited model availability. Devin Pro costs $20 per month and adds full model availability, free use of SWE 1.6 and leading open-source models, plus Devin Cloud agents.
Here is the practical comparison for people choosing a default today:
- Cheapest paid default: GitHub Copilot Pro at $10/month
- Best IDE-first flow: Cursor Pro at $20/month
- Best terminal-first paid agent: Claude Code Pro at $20/month
- Best free open-source route: opencode, Cline, or Aider with your own API key
Claude Code vs Codex is the real head-to-head if you want a terminal agent, while the editor crowd will keep comparing Cursor, Copilot, and Devin Desktop. The right answer depends on whether you care more about raw benchmark score, monthly spend, or how much control you want over the model underneath.
The model behind the agent still decides the ceiling
Even the best agent cannot outrun the model it calls. That is why the same article has to mention OpenAI, Anthropic, and DeepSeek alongside the tools that wrap them.
On the self-reported SWE-bench Pro leaderboard, Claude Opus 4.8 scores 69.2%, GPT-5.5 scores 58.6%, and Gemini 3.1 Pro scores 54.2%. On SWE-bench Verified, GPT-5.5 posts 88.7% and Opus 4.8 posts 88.6%, which is one reason the model debate keeps splitting by benchmark.
That split is not a contradiction. Terminal-Bench asks whether an agent can drive a terminal end to end. SWE-bench asks whether a model can fix real GitHub issues. Those are related tasks, but they reward different habits.
The open-weight side matters too. DeepSeek V4, GLM-5.2, Qwen3.7 Max, MiniMax M3, and Kimi K2.6 give teams more room to self-host or buy by the token, which is why cost-sensitive teams keep testing them against the closed models.
What I would pick today
If I wanted the best terminal agent for hard work, I would start with Codex CLI plus GPT-5.5, then test whether Claude Code feels better on my own codebase. If I wanted the best free path with control over models, I would pick opencode and bring my own provider.
The next thing to watch is whether the gap between terminal agents and IDE agents keeps widening as teams move more work into long-running sessions. If Codex keeps its lead on Terminal-Bench while Devin Desktop keeps absorbing older products like Windsurf, the market will split even harder between people who want scoreboards and people who want a polished editor workflow.
For now, the clean takeaway is simple: pick the agent by the job, not by the brand. If you want the highest Terminal-Bench number, start with Codex CLI. If you want the strongest paid reasoning assistant, choose Claude Code. If you want the most visible open-source project, install opencode and bring your own model.
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