Updated February 24, 2026 — All pricing sourced from official provider documentation only. Models ranked by agentic coding capability, not price. Only models with confirmed tool use / function calling are included.
The Master Ranking: Best AI Models for Agentic Coding (Feb 2026)
We compared every major AI model across SWE-bench Verified, SWE-bench Pro, Terminal-Bench 2.0, and real-world agentic tool-use capabilities. The ranking below is sorted purely by coding power — how well each model performs at autonomous code generation, bug fixing, and multi-step agentic workflows with tool calling. Price is listed for reference but does not affect rank.
| Rank | Model | Coding Score | Input / 1M | Output / 1M | Tool Use | Context | Get API Key |
|---|---|---|---|---|---|---|---|
| 1 | Claude Opus 4.6 | 80.8% | $5.00 | $25.00 | Full + MCP + Agent Teams | 200K / 1M beta | Anthropic Console |
| 2 | Claude Opus 4.5 | 80.9% | $5.00 | $25.00 | Full + MCP | 200K / 1M beta | Anthropic Console |
| 3 | GPT-5.3-Codex | 77.3% | $1.75 | $14.00 | Full + Responses API + MCP | 400K+ | OpenAI Platform |
| 4 | MiniMax M2.5 | 80.2% | $0.30 | $1.20 | Tool calling supported | 1M | MiniMax Platform |
| 5 | GPT-5.2 | 80.0% | $1.75 | $14.00 | Full + Responses API + MCP | 200K | OpenAI Platform |
| 6 | Gemini 3.1 Pro Preview | 68.5% | $2.00 | $12.00 | Full function calling + MCP | 1M+ | Google AI Studio |
| 7 | Kimi K2.5 | 76.8% | $0.60 | $3.00 | ToolCalls + Agent Swarm | 256K | Moonshot Platform |
| 8 | Gemini 2.5 Pro | High | $1.25 | $10.00 | Full function calling | 1M | Google AI Studio |
| 9 | Claude Sonnet 4.6 | High | $3.00 | $15.00 | Full + MCP | 200K / 1M beta | Anthropic Console |
| 10 | DeepSeek V3.2 | 73.0% | $0.28 | $0.42 | Tool use (thinking + non-thinking) | 128K | DeepSeek Platform |
| 11 | Grok 4.1 Fast (Reasoning) | Strong | $0.20 | $0.50 | Agent Tools API + MCP | 2M | xAI Console |
| 12 | Grok Code Fast 1 | Strong | $0.20 | $1.50 | Tool calling + Agent Tools API | 256K | xAI Console |
| 13 | Gemini 2.5 Flash | Good | $0.30 | $2.50 | Full function calling | 1M | Google AI Studio |
Model-by-Model Breakdown
#1 — Claude Opus 4.6 (Anthropic)
The reigning king of agentic coding. Opus 4.6 scores 80.8% on SWE-bench Verified, making it statistically tied with Opus 4.5 for the top spot. Its killer feature is Agent Teams — the ability to spawn up to 100 sub-agents with 1,500 tool calls per session. It has native MCP support, extended thinking, and a 1M context window in beta. The most expensive model on this list, but if you need the absolute best code quality and autonomous agent reliability, this is it.
Get your API key at console.anthropic.com | Official pricing docs
#2 — Claude Opus 4.5 (Anthropic)
Technically holds the single highest SWE-bench Verified score at 80.9% — one tenth of a point above 4.6. Same pricing tier as 4.6. Excellent for complex code architecture and debugging. Agent Teams came after this release, so 4.6 edges it out in agentic workflows despite the marginally lower benchmark score.
Get your API key at console.anthropic.com
#3 — GPT-5.3-Codex (OpenAI)
The terminal and CLI coding champion. Released February 5, 2026, GPT-5.3-Codex dominates Terminal-Bench 2.0 at 77.3% and leads SWE-Bench Pro (the harder variant) at 56.8%. This is the model powering OpenAI Codex — their agentic coding platform with multi-agent support, GitHub integration, and cloud sandboxes. Available through ChatGPT Plus ($20/mo), Pro ($200/mo), or via API at standard token rates. The Pro tier also unlocks GPT-5.3-Codex-Spark, an ultra-fast variant powered by Cerebras hardware.
Get your API key at platform.openai.com | Official pricing docs
#4 — MiniMax M2.5
The open-weight surprise. Released February 12, 2026, this model from MiniMax scored 80.2% on SWE-bench Verified — the highest of any open-weight model, beating GPT-5.2. At just $0.30 input / $1.20 output per million tokens, it costs roughly 1/20th the price of Claude Opus. It supports tool calling, has a 1M token context window, and is available on Hugging Face for self-hosting. The Lightning variant doubles speed at $2.40/M output.
Get your API key at platform.minimax.io | Official pricing docs
#5 — GPT-5.2 (OpenAI)
OpenAI's current flagship on the API pricing page. Scores 80.0% on SWE-bench Verified and powers the Responses API with full function calling, web search, code interpreter, and file search tools built in. A solid all-rounder for agentic coding with a massive ecosystem of integrations.
Get your API key at platform.openai.com | Official pricing docs
#6 — Gemini 3.1 Pro Preview (Google)
The tool integration king. Google's latest model leads the MCP Atlas benchmark by 9.7 percentage points over Claude and scores 68.5% on Terminal-Bench 2.0. Its massive context window (1M+), native function calling, Google Search grounding, and code execution tools make it a powerhouse for agentic workflows that need to pull from multiple external systems. Paid tier only — no free access to 3.1 Pro.
Get your API key at aistudio.google.com | Official pricing docs
#7 — Kimi K2.5 (Moonshot AI)
The agent swarm specialist. Kimi K2.5 can deploy up to 100 parallel sub-agents for complex tasks — a capability comparable to Claude's Agent Teams, at a fraction of the cost. Scores 76.8% on SWE-bench Verified. Native multimodal support (vision + text), tool calling, web search, and a 256K context window. At $0.60/$3.00 per million tokens, it offers outstanding value. Open-weight on Hugging Face. Note: hosted in China, so factor in data privacy considerations.
Get your API key at platform.moonshot.ai | Official pricing docs
#8 — Gemini 2.5 Pro (Google)
Best value for serious coding. Excels at coding and complex reasoning tasks with a 1M token context window. Full function calling support. Has a free tier with generous limits for prototyping. At $1.25/$10.00 per million tokens on the paid tier, it undercuts most competitors while maintaining top-tier performance. Context caching drops input to $0.125/M.
Get your API key at aistudio.google.com | Official pricing docs
#9 — Claude Sonnet 4.6 (Anthropic)
The speed-intelligence sweet spot. Sonnet sits below Opus in Anthropic's lineup — it's faster and cheaper but not as powerful on the hardest tasks. Still has full tool use, MCP support, extended thinking, and the 1M beta context window. At $3.00/$15.00, it's a strong pick for coding agents where you need good quality without Opus-level pricing. Batch API brings it down to $1.50/$7.50.
Get your API key at console.anthropic.com | Official pricing docs
#10 — DeepSeek V3.2
The absurd value play. At $0.28 input / $0.42 output per million tokens, DeepSeek V3.2 is by far the cheapest frontier-class model on this list. It scores 73.0% on SWE-bench Verified and is the first model to integrate thinking directly into tool-use — meaning it reasons through multi-step tool calls rather than treating them as simple function dispatches. Supports tool calling in both thinking and non-thinking modes. 128K context. Open-source under MIT license. Like Kimi, hosted in China — factor that in for data privacy.
Get your API key at platform.deepseek.com | Official pricing docs
#11 — Grok 4.1 Fast Reasoning (xAI)
Cheapest frontier tool-calling model. At just $0.20 input / $0.50 output, Grok 4.1 Fast was specifically trained via reinforcement learning in simulated environments for agentic tool use. It has a massive 2 million token context window — the largest on this list — and xAI claims 3x reduced hallucinations compared to Grok 4 Fast. The Agent Tools API lets you define JSON schemas for external services that the model autonomously invokes during reasoning. Pairs well with xAI's built-in web search and X search tools.
Get your API key at console.x.ai | Official pricing docs
#12 — Grok Code Fast 1 (xAI)
Purpose-built for code. xAI's dedicated coding model at $0.20 input / $1.50 output. Smaller 256K context window than the 4.1 Fast models, but optimized specifically for code generation tasks. Supports the same Agent Tools API and tool calling infrastructure. A solid budget option if you want a fast, cheap coding agent and don't need the full reasoning depth of Grok 4.
Get your API key at console.x.ai | Official pricing docs
#13 — Gemini 2.5 Flash (Google)
The free-tier prototyping king. Google's hybrid reasoning model with a 1M token context window, thinking budgets, and full function calling — and it has a free tier with no cost for input or output tokens (rate-limited). On the paid tier, it's $0.30 input / $2.50 output. Context caching drops input to just $0.03/M. Not the most powerful coder on this list, but unbeatable for testing and building agent prototypes before committing to a paid model.
Get your API key at aistudio.google.com | Official pricing docs
Quick Price Comparison: Cheapest to Most Expensive
Same models, but sorted by total cost (input + output combined) so you can see the value spectrum at a glance:
| Model | Input / 1M | Output / 1M | Combined | Coding Rank |
|---|---|---|---|---|
| Grok 4.1 Fast (Reasoning) | $0.20 | $0.50 | $0.70 | #11 |
| DeepSeek V3.2 | $0.28 | $0.42 | $0.70 | #10 |
| MiniMax M2.5 | $0.30 | $1.20 | $1.50 | #4 |
| Grok Code Fast 1 | $0.20 | $1.50 | $1.70 | #12 |
| Gemini 2.5 Flash | $0.30 | $2.50 | $2.80 | #13 |
| Kimi K2.5 | $0.60 | $3.00 | $3.60 | #7 |
| Gemini 2.5 Pro | $1.25 | $10.00 | $11.25 | #8 |
| Gemini 3.1 Pro Preview | $2.00 | $12.00 | $14.00 | #6 |
| GPT-5.3-Codex | $1.75 | $14.00 | $15.75 | #3 |
| GPT-5.2 | $1.75 | $14.00 | $15.75 | #5 |
| Claude Sonnet 4.6 | $3.00 | $15.00 | $18.00 | #9 |
| Claude Opus 4.6 | $5.00 | $25.00 | $30.00 | #1 |
| Claude Opus 4.5 | $5.00 | $25.00 | $30.00 | #2 |
Key Takeaways
-
>Best overall coding model: Claude Opus 4.6 — highest SWE-bench scores plus Agent Teams for multi-agent workflows.
>Best for terminal/CLI workflows: GPT-5.3-Codex — dominates Terminal-Bench 2.0 at 77.3%.
>Best bang for your buck: MiniMax M2.5 — 80.2% SWE-bench at $0.30/$1.20. Absurd value.
>Cheapest frontier option: DeepSeek V3.2 at $0.28/$0.42, or Grok 4.1 Fast at $0.20/$0.50.
>Best free tier: Gemini 2.5 Flash — free input and output tokens with rate limits.
>Best tool integration: Gemini 3.1 Pro Preview — leads MCP Atlas by a wide margin.
>Best agent swarm on a budget: Kimi K2.5 — 100 parallel sub-agents at $0.60/$3.00.
The agentic coding space is moving fast. Six months ago, 60% on SWE-bench was state-of-the-art. Now four models clear 80%. The gap between open-weight and proprietary models is closing rapidly — MiniMax M2.5 and DeepSeek V3.2 prove you no longer need to pay premium prices for frontier-level coding performance.
All prices verified from official provider documentation as of February 24, 2026. Benchmark scores from the February 2026 SWE-bench leaderboard update and Terminal-Bench 2.0 results. Scores are self-reported by providers unless otherwise noted — scaffold and harness differences affect results.