What is the best AI model for coding in late April 2026?

It depends on your priority. For raw quality on the hardest tasks: Claude Opus 4.7 (80.8% SWE-bench Verified). For autonomous long-running coding: GPT-5.5 (82.7% Terminal-Bench, 7+ hour runs). For best price-quality: DeepSeek V4-Pro (80.6% SWE-bench at 1/6 the cost). For open weights you control: also DeepSeek V4-Pro. The frontier is now multi-model.

Did DeepSeek V4 change the ranking?

Yes, decisively. V4-Pro beats every previous open-weight model on SWE-bench Verified (80.6%) and is within 0.2 points of Claude Opus 4.7 — at 1/7 the API price. It pushes prior incumbents (GLM-5.1, Kimi K2.6) down a tier and forces frontier providers to defend their pricing.

Should I still use Claude Opus 4.7 for coding?

Yes, if PR quality and refactoring depth matter more than token cost. Opus 4.7 still wins SWE-bench Verified by 0.2 points and has the most mature MCP tool ecosystem. But for most teams, the smart play is Claude Code on Sonnet 4.6 by default with V4-Pro or Opus 4.7 escalations on hard work.

What about Cursor's auto-routing? Does it pick the right model now?

As of April 25, 2026, Cursor's Auto mode primarily routes between Sonnet 4.6 and GPT-5.5. DeepSeek V4 integration is rolling out but not yet default in Auto. For now, manually selecting V4-Pro in Cursor's model picker (or via custom OpenAI endpoint) is the way to actually use it.

Quick Answer

Best AI Coding Model After DeepSeek V4 (April 25, 2026)

Published: April 25, 2026

Best AI Coding Model After DeepSeek V4 (April 25, 2026)

DeepSeek V4 launched yesterday and the coding model ranking just shifted. Here’s the updated list of what to actually code with as of April 25, 2026.

Last verified: April 25, 2026

TL;DR ranking

Rank	Model	SWE-bench Verified	Best for
🥇	Claude Opus 4.7	80.8%	Hard refactors, deep PRs
🥈	DeepSeek V4-Pro	80.6%	Best price/quality, 1M ctx
🥉	GPT-5.5	76.4%	Long autonomous runs, computer use
4	Claude Sonnet 4.6	78.2%	Daily coding driver
5	GLM-5.1	78.4%	Production patches (SWE-Bench Pro: 49.8%)
6	Kimi K2.6	80.2%	Multi-agent swarms
7	DeepSeek V4-Flash	~74%	Bulk volume, cheapest
8	Gemini 3.1 Pro	76.2%	Multimodal coding (UI screenshots)
9	Llama 5	71.4%	On-prem, license clarity
10	Qwen 3.6 Plus	69.8%	Edge / on-device

1. Claude Opus 4.7 — still the deep-coding king

Why it’s still #1: Highest SWE-bench Verified score, best multi-file refactoring, deepest MCP tool ecosystem.

SWE-bench Verified: 80.8%
Pricing: $5 / $25 per million tokens
Context: 1M
Best in: Claude Code, JetBrains, large refactors, mission-critical PRs

The catch: $25/M output is expensive. Opus 4.7 lost its monopoly the moment V4-Pro hit 80.6% at $3.48/M output. For 90%+ of work, V4-Pro now beats Opus on cost-adjusted quality.

2. DeepSeek V4-Pro — the new value champion

Why it jumped to #2: Within 0.2 points of Opus 4.7 on SWE-bench, beats it on Terminal-Bench (67.9% vs 65.4%) and LiveCodeBench (93.5% vs 88.8%) — at one-seventh the price.

SWE-bench Verified: 80.6%
Terminal-Bench 2.0: 67.9%
LiveCodeBench: 93.5%
Pricing: $1.74 / $3.48 per million tokens
Context: 1M
Open weights: Yes (Hugging Face)

Best in: Cost-sensitive teams, high-volume agents, self-hosted production, China-friendly deployments via Huawei Ascend.

The catch: Smaller MCP ecosystem, no native computer use, custom (not Apache) license.

3. GPT-5.5 — the autonomous-agent leader

Why it slipped to #3 for coding (specifically): Lower SWE-bench Verified than Opus 4.7 and V4-Pro. But it still wins Terminal-Bench 2.0 (82.7%) and is the only frontier model with native computer use and 7+ hour autonomous runs.

SWE-bench Verified: 76.4%
Terminal-Bench 2.0: 82.7% (winner)
Pricing: $5 / $30 per million tokens
Context: 400K

Best in: Codex, Codex Cloud, OpenAI Agents SDK, computer-use workflows, sysadmin/DevOps automation.

4. Claude Sonnet 4.6 — the daily driver

Why it stays high: Best price-to-performance among closed-frontier models. Most teams’ actual default in Claude Code.

SWE-bench Verified: 78.2%
Pricing: $3 / $15
Context: 1M

Best in: Default Claude Code mode, day-to-day pair programming, when Opus is overkill but you want the Anthropic ecosystem.

5. GLM-5.1 — production-patch champion

Why it matters: Best open-weight score on SWE-Bench Pro (49.8%) — the harder benchmark that tests realistic GitHub patches, not synthetic SWE-bench. If your bot needs to ship working production fixes, GLM-5.1 punches above its weight.

SWE-bench Verified: 78.4%
SWE-Bench Pro: 49.8% (best open-weight)
Pricing: $0.30 / $1.10 per million tokens
License: Apache 2.0

Best in: Auto-fix bots, GitHub Action agents, anywhere production-readiness > raw benchmark.

6. Kimi K2.6 — the swarm specialist

Why it’s still relevant: 300+ parallel sub-agents in a single workflow. No other model — open or closed — replicates this today.

SWE-bench Verified: 80.2%
τ²-Bench (agents): 74.8% (best open)
Pricing: $0.60 / $2.50
License: Apache 2.0

Best in: Complex multi-agent coding (split a refactor across 50 sub-agents), tool-orchestration heavy work, research codebases.

7. DeepSeek V4-Flash — the volume monster

Why it’s high on the list: $0.14 / $0.28 per million tokens with 1M context. The cheapest 1M-context coding model on the market by a factor of 4x.

SWE-bench Verified: ~74% (estimated, full numbers pending)
Pricing: $0.14 / $0.28
Speed: ~220 tokens/sec

Best in: RAG over codebases, mass code review pre-screening, bulk autocomplete, anywhere you’d otherwise pick “the cheapest competent model.”

8. Gemini 3.1 Pro — multimodal coding

Why it’s worth a slot: Only frontier model that natively handles UI screenshots, video tutorials, and design mockups. For frontend / design-to-code workflows, nothing else compares.

SWE-bench Verified: 76.2%
MMMU (vision): 78.4%
Pricing: $2.50 / $10

Best in: Frontend coding from Figma, design-to-code, pair-programming with screenshots.

9. Llama 5 — the safe enterprise choice

SWE-bench Verified: 71.4%
License: Meta custom (700M MAU cap, mostly fine for enterprises)
Strength: Largest fine-tune ecosystem, broad enterprise support

Best in: Air-gapped enterprise deployments, regulated industries, teams that need a single trusted vendor.

10. Qwen 3.6 Plus — the edge model

SWE-bench Verified: 69.8%
Strength: Runs on a single high-end consumer GPU or M3 Ultra

Best in: On-device coding assistants, IDE autocomplete on laptops, completely offline workflows.

What changed in the last 24 hours

Yesterday’s ranking (April 24):

Claude Opus 4.7
GPT-5.5
Claude Sonnet 4.6
GLM-5.1
Kimi K2.6

Today’s ranking (April 25, post-DeepSeek-V4):

Claude Opus 4.7
DeepSeek V4-Pro (new — direct entry at #2)
GPT-5.5
Claude Sonnet 4.6
GLM-5.1

V4-Pro didn’t dethrone Opus, but it pushed everything else down a slot and reset the entire price-quality frontier.

Recommended setup for April 25, 2026

For a serious dev team:

IDE driver: Claude Sonnet 4.6 in Claude Code (or Cursor with Auto mode)
Hard task escalation: Claude Opus 4.7 OR DeepSeek V4-Pro (try both)
Bulk RAG / volume: DeepSeek V4-Flash via OpenRouter
Long autonomous runs: GPT-5.5 in Codex
Multimodal (screenshots): Gemini 3.1 Pro

For solo devs / startups on a budget:

Default: DeepSeek V4-Flash via OpenRouter ($0.14/$0.28)
Hard tasks: DeepSeek V4-Pro ($1.74/$3.48)
Edge cases: Claude Sonnet 4.6 trial, GPT-5.5 free tier

The headline: the price floor for “frontier-grade” coding just dropped 5×. Use it.

Last verified: April 25, 2026. Sources: SWE-bench Verified leaderboard, Terminal-Bench 2.0 leaderboard, LiveCodeBench, DeepSeek V4 release notes, Anthropic + OpenAI pricing pages.