The complete pricing comparison for every major LLM API in 2026. Input tokens, output tokens, batch pricing, context windows, and cost-per-task estimates for GPT-4o, GPT-5, Claude 3.5, Gemini 2.0, Llama 3, Mistral, and DeepSeek.
| Model | Input/1M | Output/1M | Context | Batch Input |
|---|---|---|---|---|
| GPT-5 | $5.00 | $15.00 | 256K | $2.50 |
| GPT-4o | $2.50 | $10.00 | 128K | $1.25 |
| GPT-4o mini | $0.15 | $0.60 | 128K | $0.075 |
| o3 | $10.00 | $40.00 | 200K | $5.00 |
| o3-mini | $1.10 | $4.40 | 200K | $0.55 |
| Claude Opus 4 | $15.00 | $75.00 | 200K | $7.50 |
| Claude Sonnet 4 | $3.00 | $15.00 | 200K | $1.50 |
| Claude Haiku 3.5 | $0.80 | $4.00 | 200K | $0.40 |
| Gemini 2.0 Pro | $1.25 | $5.00 | 1M | N/A |
| Gemini 2.0 Flash | $0.075 | $0.30 | 1M | N/A |
| Llama 3.1 405B | $3.00 | $3.00 | 128K | Self-host |
| Llama 3.1 70B | $0.60 | $0.60 | 128K | Self-host |
| Mistral Large | $2.00 | $6.00 | 128K | $1.00 |
| Mistral Small | $0.20 | $0.60 | 32K | $0.10 |
| DeepSeek V3 | $0.27 | $1.10 | 64K | $0.14 |
| DeepSeek R1 | $0.55 | $2.19 | 64K | $0.28 |
Prices as of March 2026. Llama self-hosting costs depend on GPU hardware. Batch pricing requires 24-hour turnaround.
Raw pricing per million tokens is misleading. What matters is the cost per completed task — and that depends on how many attempts it takes to get a usable result. sinc-LLM structured prompts reduce retry rates by 4x, cutting effective costs dramatically.
| Task | Avg Tokens | GPT-4o Cost | Claude Sonnet | Gemini Flash | DeepSeek V3 |
|---|---|---|---|---|---|
| Blog post (1000 words) | ~1,500 out | $0.015 | $0.023 | $0.0005 | $0.002 |
| Code function | ~500 out | $0.005 | $0.008 | $0.0002 | $0.0006 |
| Data analysis | ~2,000 out | $0.020 | $0.030 | $0.0006 | $0.002 |
| Email draft | ~300 out | $0.003 | $0.005 | $0.0001 | $0.0003 |
| SQL query | ~200 out | $0.002 | $0.003 | $0.0001 | $0.0002 |
The biggest cost in LLM usage is not the price per token — it is the number of retries needed to get a usable result. A raw prompt that costs $0.01 but requires 4 attempts costs $0.04. A structured sinc-LLM prompt that costs $0.015 but works on the first attempt saves 63%.
The mathematics are clear:
When all 6 specification bands are present, the LLM reconstructs your intent at maximum fidelity. When bands are missing, the model hallucinates — producing output you reject and retry. Each retry doubles your effective cost.
Use the token counter to see exact token counts and the LLM cost calculator to estimate your monthly spend. Then use sinc-LLM to structure your prompts and cut that spend by eliminating retries.