Free tool
Compare two AI models, one workload.
Pick any two hosted LLMs and the same call volume. See the real monthly cost difference, side by side. Then verify the cheaper model still passes your quality bar with ModelSwitch.
Estimate your AI bill, model by model.
Two models, one workload. See the real cost difference for the calls you actually make.
| Model | $ / M input | $ / M output | Monthly | vs. current |
|---|---|---|---|---|
| Llama 3.1 8BMeta · Together | $0.18 | $0.18 | $108 | −96% |
| GPT-4o miniOpenAI | $0.15 | $0.60 | $135 | −96% |
| Qwen 2.5 72BAlibaba · OpenRouter | $0.40 | $0.40 | $240 | −92% |
| DeepSeek V3DeepSeek | $0.27 | $1.10 | $245 | −92% |
| Gemini 2.5 FlashGoogle | $0.30 | $2.50 | $400 | −87% |
| Llama 3.1 70BMeta · Together | $0.88 | $0.88 | $528 | −82% |
| Claude Haiku 4Anthropic | $0.80 | $4.00 | $800 | −73% |
| Mistral Large 2Mistral | $2.00 | $6.00 | $1,600 | −47% |
| Gemini 2.5 ProGoogle | $1.25 | $10.00 | $1,625 | −46% |
| GPT-4.1OpenAI | $2.00 | $8.00 | $1,800 | −40% |
| Claude Sonnet 4Anthropic | $3.00 | $15.00 | $3,000 | current |
| GPT-5OpenAI | $5.00 | $20.00 | $4,500 | +50% |
| Claude Opus 4Anthropic | $15.00 | $75.00 | $15,000 | +400% |
Prices reflect typical 2026 list pricing and may change. Verify with each provider before you commit to a budget.
Price alone doesn't tell you if a cheaper model can safely replace yours.
Verify quality with ModelSwitch →Head-to-head prices for the matches people ask about.
Same workload: 100,000 calls/month, 5,000 input tokens, 1,000 output tokens. Prices are 2026 list.
Claude Sonnet 4$3,000
GPT-4.1$1,800
GPT-4.1 is $1,200 (40%) cheaper for this workload.
Claude Sonnet 4$3,000
DeepSeek V3$245
DeepSeek V3 is $2,755 (92%) cheaper for this workload.
Claude Sonnet 4$3,000
Gemini 2.5 Pro$1,625
Gemini 2.5 Pro is $1,375 (46%) cheaper for this workload.
Claude Opus 4$15,000
GPT-5$4,500
GPT-5 is $10,500 (70%) cheaper for this workload.
GPT-4o mini$135
Gemini 2.5 Flash$400
GPT-4o mini is $265 (66%) cheaper for this workload.
Llama 3.1 70B$528
Mistral Large 2$1,600
Llama 3.1 70B is $1,072 (67%) cheaper for this workload.
Claude Haiku 4$800
GPT-4o mini$135
GPT-4o mini is $665 (83%) cheaper for this workload.
Qwen 2.5 72B$240
Llama 3.1 8B$108
Llama 3.1 8B is $132 (55%) cheaper for this workload.
Price is one axis. ModelSwitch measures whether the cheaper model actually passes your real tasks.
Model comparison, answered
Is Claude better than GPT?
"Better" depends on your task. On long-context reasoning, document analysis and code synthesis, Claude Sonnet 4 and GPT-4.1 trade wins. On price, GPT-4.1 is roughly 30% cheaper on output. ModelSwitch measures the actual quality gap on your workload.
Is GPT cheaper than Claude?
GPT-4.1 ($2 / $8 per 1M) is cheaper than Claude Sonnet 4 ($3 / $15 per 1M). GPT-4.1 is also cheaper than Claude Opus 4 ($15 / $75). The calculator above shows the exact numbers for your workload.
Can DeepSeek replace Claude?
On price, DeepSeek V3 is roughly 10× cheaper than Claude Sonnet 4 on input tokens. On quality, DeepSeek V3 is a strong open model but lags Claude on the hardest reasoning and agentic tool-use tasks. ModelSwitch measures the gap on your workload.
What is the cheapest model that is still useful?
For most production workloads, the cheapest model that holds up is GPT-4o mini, Gemini 2.5 Flash, or Llama 3.1 70B (hosted). Below those, quality drops fast unless your task is very narrow.
How do I compare two models on my workload?
Pick the two models in the form above to see the cost gap. Then run 20–200 of your real tasks through both with ModelSwitch to see the quality gap. The two together give you the real "can I switch" answer.