AI Models Comparison
Compare popular large language models across providers, pricing, capabilities, and performance.
TL;DR
Comparing GPT-4o, Claude Opus 4, Gemini 2.5 Pro, LLaMA 3.1 405B, Mistral Large, DeepSeek V3, Sonar Pro, Mistral Large 3, GPT-4.1 across 17 features in 5 categories.
Score Breakdown
Full rankings →Weighted: Performance 35% · Value 30% · Reliability 20% · Ease of Use 15%
Scores at a Glance
Best all-rounder. Unmatched ecosystem and ease of use.
Top reasoning quality. Best for complex, high-stakes tasks.
Excellent value. Best choice for Google Workspace teams.
Best open-source model. Free to run, but requires infrastructure.
Strong European alternative with good price and GDPR compliance.
Exceptional value. Strong performance at a fraction of the cost.
Best budget OpenAI model. Near GPT-4o quality at a fraction of the API cost.
← Swipe table left/right to see all columns →
| Feature | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| General | |||||||||
| Provider | OpenAI | Anthropic | Meta | Mistral AI | DeepSeek | Perplexity | Mistral AI | OpenAI | |
| Release Date | May 2024 | May 2025 | Mar 2025 | Jul 2024 | Feb 2024 | Dec 2024 | Feb 2025 | Jul 2025 | Apr 2025 |
| Open Source | |||||||||
| Parameters | Undisclosed | Undisclosed | Undisclosed | 405B | Undisclosed | 671B MoE | Undisclosed | Undisclosed | Undisclosed |
| Context & Tokens | |||||||||
| Max Context Window | 128K | 200K | 1M | 128K | 128K | 128K | 200K | 128K | 1M |
| Max Output Tokens | 16K | 32K | 65K | 4K | 8K | 8K | 8K | 16K | 32K |
| Pricing (per 1M tokens) | |||||||||
| Input Price | $2.50 | $15.00 | $1.25 | Free / Varies | $2.00 | $0.27 | $3.00 | $2.00 | $2.00 |
| Output Price | $10.00 | $75.00 | $10.00 | Free / Varies | $6.00 | $1.10 | $15.00 | $6.00 | $8.00 |
| Capabilities | |||||||||
| Vision (Image Input) | |||||||||
| Function / Tool Calling | |||||||||
| Code Generation | |||||||||
| Structured Output (JSON) | |||||||||
| System Prompts | |||||||||
| Streaming | |||||||||
| Fine-tuning Available | |||||||||
| Benchmarks | |||||||||
| MMLU Score | 88.7% | ~90% | 90.0% | 88.6% | 84.0% | 88.5% | N/A | ~84% | 90.2% |
| HumanEval (Code) | 90.2% | ~93% | 89.0% | 89.0% | 81.0% | 82.6% | N/A | N/A | 92.0% |
Community Ratings
Frequently Asked Questions
What is the difference between GPT-4o and Claude Opus 4?
GPT-4o and Claude Opus 4 are both leading tools in this category but serve different use cases. Our comparison breaks down their differences across performance, pricing, reliability, and ease of use — so you can pick the right one for your workflow.
Which is better: GPT-4o or Claude Opus 4?
The answer depends on your use case. GPT-4o typically excels for users who prioritise ecosystem integrations and ease of onboarding. Claude Opus 4 tends to lead on performance depth. See our full score breakdown and "choose if" guide above for a definitive recommendation.
How is We Compare AI's comparison data collected?
All data is collected independently by our team of AI specialists using a standardised benchmark methodology. We test each tool directly, track public pricing from official sources, and update scores when models release significant updates. No vendor pays to appear or influence their ranking.
How does GPT-4o compare to Gemini 2.5 Pro?
GPT-4o and Gemini 2.5 Pro target overlapping use cases but differ in pricing models and feature sets. Our comparison table above includes Gemini 2.5 Pro alongside GPT-4o and Claude Opus 4 so you can evaluate all options side by side.
Is there a free version of GPT-4o?
Most major AI tools including GPT-4o offer a free tier with usage limits. Check our pricing comparison above for exact plan details, token limits, and cost-per-million-token breakdowns for GPT-4o, Claude Opus 4, Gemini 2.5 Pro, LLaMA 3.1 405B, Mistral Large, DeepSeek V3, Sonar Pro, Mistral Large 3, GPT-4.1.
Last updated: 2026-02-28 · How we collect data →