LLM API Cost Calculator — multi-provider
Compare monthly cost across all major LLM providers — OpenAI, Anthropic, Google Gemini, Mistral, Meta Llama, and xAI Grok — for the same token volume. Quality scores included for cost-vs-quality decisions. Pricing data refreshed weekly. Free, no signup.
Looking for OpenAI-specific deep dive (caching, batch API, conversation mode)? Use the OpenAI calculator.
Compare LLM costs across OpenAI, Anthropic, Google, Mistral, Meta, xAI
Single calculator for multi-provider deployments. Enter token volume → see cost-per-model side-by-side with quality scores. For OpenAI-specific deep-dive (caching, batch API, conversation mode), use the OpenAI calculator. Pricing data updated 2026-05-26.
Output is typically 3-4× more expensive per token than input on frontier models. For conversation-to-token estimation, use the OpenAI calculator in conversation mode.
OpenAI
Anthropic
Google (Gemini)
Mistral AI
Meta (via Together AI / Groq / direct)
xAI (Grok)
Monthly cost comparison
High-volume SMB — best $/quality at scale
Cost-efficient classification + intent recognition
Long-context at SMB price — strong for RAG workloads
Open-weight balanced model — strong on Groq's $0.59/1M offering
Recommendation — Best $/quality
Best quality-per-dollar in your selection. Quality score 82/100 at OpenAI's GPT-4o mini. Best for: High-volume SMB — best $/quality at scale.
Full breakdown
| Model | $/1M in | $/1M out | Monthly | Annual |
|---|---|---|---|---|
GPT-4o mini OpenAI | $0.1500 | $0.6000 | $5.85 | $70.20 |
Claude 4 Haiku Anthropic | $0.2500 | $1.25 | $11.25 | $135.00 |
Gemini 2.5 Flash Google (Gemini) | $0.3000 | $2.50 | $19.50 | $234.00 |
Llama 4 70B Meta (via Together AI / Groq / direct) | $0.6000 | $0.6000 | $12.60 | $151.20 |
Volume basis: 15.00M input + 6.00M output tokens per month.
Embed this multi-provider calculator on your site (free)
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</iframe>Why multi-provider matters
Most production chatbot deployments in 2026 don't lock to a single LLM provider. The two most common architectures:
- Cost-optimized routing — cheap, fast classification models (Claude Haiku, GPT-4o mini, Gemini Flash Lite) handle 80% of traffic for intent recognition and routing; only complex generation escalates to a frontier model (Claude Opus, GPT-5, Gemini 2.5 Pro). Cuts your overall LLM bill 60-80% vs frontier-only deployment.
- Provider redundancy — same prompts routed to two providers via fallback logic. If OpenAI has a regional outage, your chatbot keeps responding via Anthropic. Adds resilience for high-stakes deployments.
The calculator above models any provider mix. Select up to 6 models across providers; compare their monthly cost side-by-side; the recommendation engine picks the best fit based on your chosen optimization context (cost / quality / balanced).
Quality score methodology
Quality scores (0-100) are a subjective composite drawn from three sources:
- LMSYS Chatbot Arena Elo (40% weight) — crowd-sourced human preference ratings from millions of head-to-head model comparisons. Best general-purpose signal for «which model do people prefer.»
- MMLU benchmark (30% weight) — 57-subject academic test of knowledge breadth. Less predictive of chatbot UX but captures raw knowledge.
- Chatbotscape editorial evaluation (30% weight) — our own testing across SMB chatbot use cases. Anchored against the Manychat anchor for cross-platform comparability.
Treat the score as rough comparison signal — not a substitute for application-specific benchmarking. Two models with the same quality score may perform very differently on your specific use case.
Provider landscape — May 2026
- OpenAI — GPT-5 family (frontier + mini), GPT-4o family, o1 reasoning models. Strong defaults for general chatbots, best multimodal support, prompt caching widely adopted.
- Anthropic — Claude 4 Opus (frontier), Sonnet (balanced), Haiku (budget). Strong on safety/alignment, superior long-document handling, popular for enterprise deployments. MCP-native protocol.
- Google Gemini — 2.5 Pro (frontier with 2M-token context), Flash (balanced), Flash Lite (budget). Cheapest long-context option — best for large RAG knowledge bases.
- Mistral — European-hosted, GDPR-friendly data residency. Large 2 (frontier), Small 3 (balanced). Strong choice for EU compliance scenarios.
- Meta (Llama) — Open-weight 405B / 70B / 8B. Run via inference providers (Together, Groq, Fireworks) or self-host. Groq offers Llama 4 70B at $0.59/1M — among the cheapest balanced options.
- xAI Grok — Grok 3 (frontier), 3 mini (balanced). Real-time X (Twitter) data access; less-restrictive content policies. Niche but growing.
Related Chatbotscape tools and resources
- OpenAI-specific deep-dive calculator (caching, batch, conversation mode)
- Chatbot ROI calculator — add LLM costs to your deployment business case
- Chatbase review — OpenAI-powered chatbot platform
- Botpress review — multi-LLM chatbot platform with BYOLLM support
- Voiceflow review — multi-LLM visual designer
- Large language model — concepts + how providers differ
FAQ
Which provider is cheapest for chatbots?
At the budget tier in 2026: Gemini 2.5 Flash Lite ($0.075/1M in, $0.30/1M out) and Claude 4 Haiku ($0.25/1M in, $1.25/1M out) compete with GPT-4o mini ($0.15/1M in, $0.60/1M out). Run the calculator with your specific token volume to see exact cost — output-heavy workloads favor Gemini Flash Lite; input-heavy favors GPT-4o mini.
Which provider has the best quality?
As of May 2026: Claude 4 Opus, GPT-5, and Gemini 2.5 Pro all measure within 4 points of each other on aggregate quality scores. For specific tasks the leader differs — Claude leads on long-form writing, GPT-5 leads on tool use and agents, Gemini leads on long-context document understanding. Always benchmark on your actual use case before committing.
Should I use multiple providers in production?
Yes — for two reasons. First, cost optimization via routing (cheap models for classification, frontier for generation) cuts bills 60-80%. Second, provider redundancy hedges against outages and rate-limit incidents. Setup complexity is real but manageable — most chatbot platforms (Botpress, Voiceflow, Chatbase) support multi-provider BYOLLM out of the box.
How often is pricing refreshed?
Weekly, from each provider's official pricing page. Current dataset last refreshed 2026-05-26. Provider pricing changes happen roughly quarterly across the major providers.
Why are open-weight Llama prices included if they're free?
You can self-host Llama for free, but most production users access it via inference providers (Together AI, Groq, Fireworks AI) at per-token pricing comparable to closed-source providers. The prices shown reflect typical inference-provider rates — self-hosters should substitute their own infrastructure cost.
Can I embed this calculator on my site?
Yes — free. Copy the iframe snippet from the embed section above. Embed strips Chatbotscape navigation and preserves the calculator + attribution badge.