Anthropic Claude Sonnet Latest vs OpenAI GPT Latest
| Signal | Anthropic Claude Sonnet Latest | Delta | OpenAI GPT Latest |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 90 | +20 | |
Context window size | 95 | 0 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
Anthropic Claude Sonnet Latest
~anthropic
OpenAI GPT Latest
~openai
Anthropic Claude Sonnet Latest saves you $1300.00/month
That's $15600.00/year compared to OpenAI GPT Latest at your current usage level of 100K calls/month.
| Metric | Anthropic Claude Sonnet Latest | OpenAI GPT Latest | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #270 | #271 | Anthropic Claude Sonnet Latest |
| Quality Rank | #270 | #271 | Anthropic Claude Sonnet Latest |
| Adoption Rank | #270 | #271 | Anthropic Claude Sonnet Latest |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1050K | OpenAI GPT Latest |
| Pricing | $2.00/$10.00/M | $5.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Anthropic Claude Sonnet Latest |
| Pricing | 90 | 70 | Anthropic Claude Sonnet Latest |
| Context window size | 95 | 96 | OpenAI GPT Latest |
| Recency | 100 | 100 | Anthropic Claude Sonnet Latest |
| Output Capacity | 85 | 85 | Anthropic Claude Sonnet Latest |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #270), placing it in the top 7% of all 290 models tracked.
Scores 40/100 (rank #271), placing it in the top 7% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose Anthropic Claude Sonnet Latest when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
Choose OpenAI GPT Latest when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Anthropic Claude Sonnet Latest offers 66% better value per quality point. At 1M tokens/day, you'd spend $180.00/month with Anthropic Claude Sonnet Latest vs $525.00/month with OpenAI GPT Latest - a $345.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Anthropic Claude Sonnet Latest also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($10.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Anthropic Claude Sonnet Latest and OpenAI GPT Latest are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Anthropic Claude Sonnet Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Anthropic Claude Sonnet Latest
66% lower pricing; better value at scale
Best for Reliability
Anthropic Claude Sonnet Latest
Higher uptime and faster response speeds
Best for Prototyping
Anthropic Claude Sonnet Latest
Stronger community support and better developer experience
Best for Production
Anthropic Claude Sonnet Latest
Wider enterprise adoption and proven at scale
by ~anthropic
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 66% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Anthropic Claude Sonnet Latest | OpenAI GPT Latest |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic Claude Sonnet Latest
~anthropic
OpenAI GPT Latest
~openai
Anthropic Claude Sonnet Latest saves you $29.40/month
That's 65% cheaper than OpenAI GPT Latest at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Anthropic Claude Sonnet Latest | OpenAI GPT Latest |
|---|---|---|
| Context Window | 1M | 1.1M |
| Max Output Tokens | 128,000 | 128,000 |
| Open Source | No | No |
| Created | Apr 27, 2026 | Apr 27, 2026 |
The identical scores suggest near-equivalent performance on coding benchmarks, but Claude's #6 rank versus GPT's #7 indicates slightly better consistency across specific test cases. This marginal advantage comes at half the price - $3/M input and $15/M output versus GPT's $5/M and $30/M - making Claude the clear value leader for teams processing high volumes of code.
For most coding workflows, the 100K token difference rarely justifies GPT's 2x higher pricing, as both models already exceed typical repository sizes and can output the same 128K tokens. The extra context only matters for analyzing massive monorepos or processing extensive documentation sets where that final 100K contains critical cross-references.
GPT Latest's 67% input premium ($5/M vs $3/M) and 100% output premium ($30/M vs $15/M) primarily reflect ecosystem lock-in and enterprise agreements rather than technical superiority. OpenAI's file handling modality provides marginal utility for certain workflows, but both models support the same vision, function calling, and reasoning capabilities that matter for production code generation.
With identical 66/100 scores and matching capabilities except file handling, migration risk is minimal - the main consideration becomes whether your annual token volume justifies the engineering effort. Teams spending over $10K/month on GPT Latest could save $5K+ monthly by switching to Claude Sonnet without any degradation in code quality or feature support.
GPT Latest's file handling modality and 10% larger context (1.1M tokens) create value for workflows involving direct PDF parsing or Excel manipulation within coding pipelines. However, at 2x the cost and identical 66/100 performance scores, these edge cases rarely offset Claude's pricing advantage for pure code generation, review, and refactoring tasks.