List prices per 1M tokens for the major hosted LLMs in 2026. Use the calculator to see what they would cost for your workload.
| Model | Provider | Tier | $ / M input | $ / M output | Est. 100k-call month |
|---|---|---|---|---|---|
| Claude Opus 4 | Anthropic | flagship | $15.00 | $75.00 | $15,0005k in / 1k out |
| GPT-5 | OpenAI | reasoning | $5.00 | $20.00 | $4,5005k in / 1k out |
| GPT-4.1 | OpenAI | flagship | $2.00 | $8.00 | $1,8005k in / 1k out |
| Gemini 2.5 Pro | flagship | $1.25 | $10.00 | $1,6255k in / 1k out | |
| Claude Sonnet 4Default in calculators | Anthropic | fast | $3.00 | $15.00 | $3,0005k in / 1k out |
| Claude Haiku 4 | Anthropic | mini | $0.80 | $4.00 | $8005k in / 1k out |
| GPT-4o mini | OpenAI | mini | $0.15 | $0.60 | $1355k in / 1k out |
| Gemini 2.5 Flash | mini | $0.30 | $2.50 | $4005k in / 1k out | |
| Mistral Large 2 | Mistral | fast | $2.00 | $6.00 | $1,6005k in / 1k out |
| DeepSeek V3 | DeepSeek | open | $0.27 | $1.10 | $2455k in / 1k out |
| Llama 3.1 70B | Meta · Together | open | $0.88 | $0.88 | $5285k in / 1k out |
| Llama 3.1 8B | Meta · Together | open | $0.18 | $0.18 | $1085k in / 1k out |
| Qwen 2.5 72B | Alibaba · OpenRouter | open | $0.40 | $0.40 | $2405k in / 1k out |
Estimates assume 100,000 calls/month, 5,000 input tokens, 1,000 output tokens. Your actual bill depends on caching, batching, free tiers and any negotiated enterprise rates — verify with each provider.
"Flagship" usually means the strongest model in a provider's line; "mini" usually means the cheapest. The tier label is a navigation aid, not a quality rating — a cheap model can still beat a flagship on your specific task.
Almost every provider charges 2–5× more for output tokens. If your workload is generation-heavy (long agent loops, code synthesis, reports), the output column matters more than the input column.
Enterprise contracts, committed-use discounts, prompt caching and batch APIs can change the math 2–10×. This page is for planning; for actual billing, check your invoice or your provider's pricing dashboard.
A model that costs 1/10 the price but only succeeds on 60% of your tasks is more expensive per successful task. Cost per successful task models this, and ModelSwitch measures it on your real workload.