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AI Model Comparison 2026: Claude vs ChatGPT vs Gemini

A living comparison of the major AI models. Last updated: May 29, 2026.

Quick Comparison

Model Provider Context Input $/1M Output $/1M Best For
Claude Opus 4.8 🆕 Anthropic 1M $5 $25 Best coding model, agentic tasks, vision
Claude Opus 4.6 Anthropic 1M (beta) $5 $25 Complex coding, agentic teams
Claude Sonnet 4.6 Anthropic 1M $3 $15 Best value for coding
Claude Haiku 3.5 Anthropic 200K $0.80 $4 Fast tasks, high volume
GPT-5.4 OpenAI 1M $2.50 $15 Computer use, reasoning
GPT-4o OpenAI 128K $2.50 $10 Multimodal, fast
GPT-4o Mini OpenAI 128K $0.15 $0.60 Budget tasks, high volume
Gemini 3.1 Pro Google 1M $2 $12 Reasoning, multimodal, research
Gemini 3.1 Flash-Lite Google 1M $0.25 $1.50 Cheapest option, enterprise scale
Llama 3.1 405B Meta (open) 128K Free (self-host) Free (self-host) Privacy, no API costs
Mistral Large Mistral 128K $2 $6 European alternative, multilingual
MiMo-V2-Pro Xiaomi 1M $1 $3 Agent tasks, budget frontier
MiMo V2.5 Pro 🆕 Xiaomi 1M $1 $3 57.2% SWE-bench Pro, 40-60% fewer tokens than Opus
DeepSeek V4-Pro 🆕 DeepSeek (open) 1M $1.74 $3.48 80.6% SWE-bench, 1.6T/49B MoE, MIT. Guide
DeepSeek V4-Flash 🆕 DeepSeek (open) 1M $0.14 $0.28 79.0% SWE-bench, 284B/13B MoE, MIT. Cheapest frontier model
Kimi K2.6 🆕 Moonshot AI (open) 256K $0.60 $3.00 Agentic coding, 300 sub-agent swarm
Qwen 3.6-35B-A3B 🆕 Alibaba (open) 262K (1M ext.) Free (self-host) Free (self-host) Local coding agent, 3B active MoE

Pricing from official provider pages as of March 2026. Always verify before committing to a model.

What’s new in April 2026

  • DeepSeek V4-Pro & V4-Flash (April 24) — V4-Pro: 1.6T/49B MoE, 80.6% SWE-bench, $1.74/$3.48. V4-Flash: 284B/13B MoE, 79.0% SWE-bench, $0.14/$0.28. Both 1M context, MIT licensed. V4-Pro guide
  • MiMo V2.5 Pro (April 23) — Xiaomi’s upgraded flagship. 57.2% SWE-bench Pro, 40-60% fewer tokens than Opus 4.6 at the same $1/$3 pricing. Complete guide
  • Kimi K2.6 (April 20) — Open-source 1T/32B MoE agentic model. 80.2% SWE-Bench Verified, 300 sub-agent swarm, matches Opus 4.6 on coding at 25x lower cost. Modified MIT license. Complete guide · K2.6 vs K2.5 · K2.6 vs Opus 4.6 · K2.6 vs GPT-5.4
  • Claude Opus 4.8 (May 28) — 69.2% SWE-bench Pro, dynamic workflows (hundreds of parallel subagents), 4× fewer unflagged errors, effort control, fast mode 3× cheaper. Same pricing as 4.7. Complete guide · Opus 4.8 vs 4.7 · Opus 4.8 vs GPT-5.5
  • Claude Opus 4.7 (April 16) — 64.3% SWE-bench Pro, 98.5% vision accuracy, new xhigh effort level, /ultrareview in Claude Code. Same pricing as 4.6 but new tokenizer uses up to 35% more tokens. Complete guide · Opus 4.7 vs 4.6 · Opus 4.7 vs GPT-5.4
  • Qwen 3.6-35B-A3B (April 15) — Open-weight 35B MoE with only 3B active parameters. 73.4% SWE-bench Verified, runs on a laptop (~21 GB quantized), Apache 2.0. Complete guide

What’s new in March 2026

  • Xiaomi MiMo-V2-Pro (March 18) — Trillion-parameter MoE agent model. 1M context at $1/$3 per million tokens. Full breakdown.
  • Xiaomi MiMo-V2-Flash (December 2025) — Open-source 309B MoE, 15B active. #1 on SWE-Bench for open-source at $0.10/$0.30. Full breakdown.
  • Xiaomi MiMo-V2-Omni (March 18) — Multimodal model processing text, images, video, and 10+ hours of audio. Full breakdown.
  • GPT-5.4 (March 5) — OpenAI’s most capable model. 1M context, native computer use, 75% on OSWorld (above human baseline of 72.4%).
  • Gemini 3.1 Pro (Feb 19) — 77.1% on ARC-AGI-2 (double its predecessor). Best reasoning-to-cost ratio.
  • Gemini 3.1 Flash-Lite (March 3) — $0.25/1M input. 2.5x faster than Gemini 2.5 Flash.
  • Claude Sonnet 4.6 (Feb 17) — Near-Opus performance at Sonnet pricing. 79.6% SWE-bench.
  • Claude Opus 4.6 (Feb 5) — 1M context, 128K output, collaborative agent teams.

Which model should you use?

For coding: Claude Opus 4.8 — 69.2% on SWE-bench Pro, dynamic workflows for codebase-scale tasks. The undisputed king of coding benchmarks. If you want near-Opus quality at lower cost, DeepSeek V4-Pro at $0.435/$0.87 scores 80.6% on SWE-bench Verified.

For reasoning & research: Gemini 3.1 Pro — 77.1% on ARC-AGI-2 and 94.3% on GPQA Diamond. Best for complex analytical tasks.

For computer use / agents: GPT-5.4 — 75% on OSWorld, native software control. First model to beat human baseline on desktop tasks.

For huge documents: Any of the 1M-context models (Claude 4.6, GPT-5.4, Gemini 3.1). All three now support 1M tokens.

On a budget: MiMo-V2-Flash at $0.10/$0.30 per million tokens — open source, 73.4% SWE-Bench. Gemini 3.1 Flash-Lite at $0.25/$1.50 is another option.

For privacy: Llama 3.1 405B. Run locally with Ollama — your data stays on your machine.

Subscription plans compared

PlanPriceWhat you get
ChatGPT Plus$20/moGPT-4o, limited GPT-5.4, image gen, browsing
ChatGPT Pro$200/moUnlimited GPT-5.4, o1 pro mode
Claude Pro$20/moSonnet 4.6 + limited Opus 4.6, priority access
Claude Max$100-200/moHigher Opus limits, extended thinking
Gemini Advanced$20/moGemini 3.1 Pro, 1M context, Google integration

Deep dive comparisons

Want more detail? Check out our head-to-head comparisons:

How to access via API

All providers offer pay-as-you-go API access with free tiers:

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Related: Free AI Token Counter

Related: Best Free AI Models in 2026: Llama, Mistral, DeepSeek and More

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