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 using your own representative tasks.

AI model comparison

Estimate your AI bill, model by model.

Two models, one workload. See the real cost difference for the calls you actually make.

Current monthly cost$65
Cheapest alternative$65−99%
Model$ / M input$ / M outputMonthlyvs. current
GPT-5 nanoOpenAI$0.05$0.40$65−99%
Mistral Small 3.1Mistral$0.10$0.30$80−98%
Gemini 2.5 Flash-LiteGoogle$0.10$0.40$90−98%
Qwen 2.5 72BAlibaba · OpenRouter$0.40$0.40$240−95%
DeepSeek V3DeepSeek$0.27$1.10$245−95%
GPT-5 miniOpenAI$0.25$2.00$325−94%
Gemini 2.5 FlashGoogle$0.30$2.50$400−92%
Llama 3.1 70BMeta · Together$0.88$0.88$528−89%
Claude Haiku 4.5Anthropic$1.00$5.00$1,000−80%
Mistral Large 3Mistral$2.00$6.00$1,600−68%
GPT-5OpenAI$1.25$10.00$1,625−68%
Gemini 2.5 ProGoogle$1.25$10.00$1,625−68%
GPT-4.1OpenAI$2.00$8.00$1,800−64%
Claude Sonnet 5Anthropic$2.00$10.00$2,000−60%
Claude Sonnet 4.5Anthropic$3.00$15.00$3,000−40%
Claude Opus 4.8Anthropic$5.00$25.00$5,000+0%

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.

Learn how to verify model quality →
Common comparisons

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 4.5vsGPT-4.1
Claude Sonnet 4.5$3,000
GPT-4.1$1,800

GPT-4.1 is $1,200 (40%) cheaper for this workload.

Claude Sonnet 4.5vsDeepSeek V3
Claude Sonnet 4.5$3,000
DeepSeek V3$245

DeepSeek V3 is $2,755 (92%) cheaper for this workload.

Claude Sonnet 4.5vsGemini 2.5 Pro
Claude Sonnet 4.5$3,000
Gemini 2.5 Pro$1,625

Gemini 2.5 Pro is $1,375 (46%) cheaper for this workload.

Claude Opus 4.8vsGPT-5
Claude Opus 4.8$5,000
GPT-5$1,625

GPT-5 is $3,375 (68%) cheaper for this workload.

GPT-5 minivsGemini 2.5 Flash
GPT-5 mini$325
Gemini 2.5 Flash$400

GPT-5 mini is $75 (19%) cheaper for this workload.

Llama 3.1 70BvsMistral Large 3
Llama 3.1 70B$528
Mistral Large 3$1,600

Llama 3.1 70B is $1,072 (67%) cheaper for this workload.

Claude Haiku 4.5vsGPT-5 mini
Claude Haiku 4.5$1,000
GPT-5 mini$325

GPT-5 mini is $675 (68%) cheaper for this workload.

Qwen 2.5 72BvsLlama 3.1 70B
Qwen 2.5 72B$240
Llama 3.1 70B$528

Qwen 2.5 72B is $288 (55%) cheaper for this workload.

Price is one axis. Test whether the cheaper model actually passes your real tasks before switching.

Model comparison, answered

Is Claude better than GPT?
"Better" depends on your task. On long-context reasoning, document analysis and code synthesis, Claude Sonnet 4.5 and GPT-4.1 trade wins. On price, GPT-4.1 is cheaper on both input and output tokens at list prices. Measure the actual quality gap by evaluating both on your workload.
Is GPT cheaper than Claude?
GPT-4.1 ($2 / $8 per 1M) is cheaper than Claude Sonnet 4.5 ($3 / $15 per 1M) — 47% cheaper on output tokens at list prices. The calculator above shows the exact numbers for your workload. Prices are Harpd registry figures verified 2026-08-18 against official provider pages.
Can DeepSeek replace Claude?
On list prices, DeepSeek V3 ($0.27/$1.1 per 1M) is roughly 11× cheaper on input and 14× cheaper on output than Claude Sonnet 4.5 ($3/$15). On quality, DeepSeek V3 is a strong open model but is not positioned as a managed flagship — it lacks the 200k context window and carries a peak/off-peak pricing caveat. Test both against your own acceptance criteria to measure the gap.
What is the cheapest model that is still useful?
For most production workloads, the cheapest models that hold up are Gemini 2.5 Flash, GPT-5 mini, and 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 and evaluate the outputs with the same rubric to see the quality gap. The two together give you the real "can I switch" answer.