How These Compare to Existing Models

Here's how the new models stack up against the popular incumbents:

• DeepSeek V3.2 vs GPT-5: 97% cheaper on input ($0.23 vs $7.50). GPT-5 has better reasoning, but for classification/summarization, DeepSeek is a no-brainer.
• Gemini 3.5 Flash vs Claude Sonnet 4.6: 50% cheaper on input ($1.50 vs $3.00), 40% cheaper on output ($9.00 vs $15.00). Gemini has 1M context vs Claude's 1M — similar specs, lower price.
• Mistral Medium 3.5 vs Claude Sonnet 4.6: Same input price ($1.50 vs $3.00 — actually 50% cheaper), 50% cheaper output. European alternative with comparable capabilities.
• AI21 Jamba 1.7 vs Gemini 2.5 Pro: Similar pricing ($2.00 vs $1.25 input), but Jamba's hybrid architecture may be faster on long contexts.
• Cohere Command A vs GPT-5: 83% cheaper on input ($1.25 vs $7.50). Best for teams already using Cohere's embedding/reranking stack.

Which One Should You Use?

The Bigger Picture

These 5 models push the APIpulse database to 85 models across 10 providers. The trend is clear: prices keep falling, context windows keep growing, and developers have more choices than ever.

The best strategy in 2026 isn't picking one model — it's using a multi-model approach. Use DeepSeek V3.2 for high-volume cheap tasks, Gemini 3.5 Flash for long-context work, and GPT-5 or Claude Opus 4.8 for complex reasoning. Our decision tree can help you pick.