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API Pricing

AI API Cost Comparison 2026:
GPT-5.4 vs Claude 4.6 vs Gemini 2.5 vs Mistral

Side-by-side pricing for every major AI API in production as of April 2026. Covers OpenAI GPT-5.4 family, Anthropic Claude 4.6, Google Gemini 2.5, and Mistral — with use-case recommendations and quality-to-cost analysis. Last verified: 2026-04-01.

12 min read·Updated April 2026
Key Takeaway — April 2026

For high-volume simple tasks: Gemini 2.5 Flash-Lite ($0.10/M) or Mistral Small 3.2 ($0.10/M) are the cheapest production options. For complex reasoning at scale: Mistral Large 3 ($0.50/M) or GPT-5.4 nano ($0.20/M). For premium quality: Claude Sonnet 4.6 ($3/M) or GPT-5.4 ($2.50/M). Note: GPT-4o mini, Gemini 2.0 Flash, o3, and o4-mini are legacy/deprecated — do not use for new projects.

Complete AI API Pricing Comparison — Production Models

Provider & ModelInput / 1MOutput / 1MContextTier
OpenAI — GPT-5.4 Family
GPT-5.4 nano$0.20$1.25128KBudget
GPT-5.4 mini$0.75$4.50128KMid-range
GPT-5.4$2.50$15.001MPremium
Anthropic — Claude 4.6 Family
Claude Haiku 4.5$1.00$5.00200KBudget
Claude Sonnet 4.6$3.00$15.001MMid-range
Claude Opus 4.6$5.00$25.001MPremium
Google — Gemini 2.5 Family
Gemini 2.5 Flash-Lite$0.10$0.401MBudget
Gemini 2.5 Flash$0.30$2.501MMid-range
Gemini 2.5 Pro$1.25*$10.00*1MPremium
Mistral AI
Mistral Small 3.2$0.10$0.30128KBudget
Mistral Large 3$0.50$1.50256KMid-range

* Gemini 2.5 Pro: $1.25/$10 for prompts ≤200k tokens; $2.50/$15 for prompts >200k tokens.

Deprecated / Legacy — Do Not Use for New Projects: GPT-4o mini ($0.15/M), GPT-4o ($2.50/M), o3, o4-mini — succeeded by GPT-5.4 family. Gemini 2.0 Flash and 2.0 Flash-Lite — deprecated, shutdown scheduled 2026-06-01, replaced by Gemini 2.5 Flash / Flash-Lite. Mistral Small 3.1 — retired 2025-11-30.

Cheapest AI API by Use Case — 2026

Chatbot — high volume
Gemini 2.5 Flash-Lite
$0.10/M input
Cheapest production model with 1M context. Replaces deprecated Gemini 2.0 Flash.
Code generation
Claude Sonnet 4.6
$3.00/M input
Top-ranked for coding quality, excellent instruction following, 1M context.
Long document analysis
Gemini 2.5 Flash
$0.30/M input
Reasoning-capable, 1M context window at low cost — ideal for full books or codebases.
Complex reasoning tasks
Claude Opus 4.6
$5.00/M input
Highest benchmark scores for agentic and multi-step reasoning workflows.
EU / GDPR workloads
Mistral Large 3
$0.50/M input
French company, EU-hosted option, open weights for on-premise. GDPR-native.
Batch processing (async)
Claude Haiku 4.5 Batch
$0.50/M input
Cheapest Anthropic batch tier — 50% off standard Haiku pricing for async jobs.
Budget tier — OpenAI stack
GPT-5.4 nano
$0.20/M input
Cheapest GPT-5.4 class model — use for classification, simple generation in OpenAI ecosystem.
Privacy / self-hosted
Mistral Small 3.2 (self-host)
GPU infra only
Open weights on Hugging Face. Data never leaves your infrastructure. Free at scale.

Quality-to-Cost Analysis

Ranking the best models by value delivered per dollar — based on benchmark performance and real-world developer feedback:

  1. Mistral Large 3 ($0.50/M input) — Exceptional value. Comparable to GPT-5.4 on multilingual tasks at one-fifth the price. Open weights also available for self-hosting.
  2. Gemini 2.5 Flash ($0.30/M input) — Best reasoning-capable model in the budget tier. 1M context at $0.30/M input is hard to beat for document-heavy workflows.
  3. Claude Sonnet 4.6 ($3.00/M input) — Best mid-range model for coding, analysis, and agentic tasks. 1M context with strong instruction following.
  4. GPT-5.4 nano ($0.20/M input) — Cheapest OpenAI model with GPT-5.4 architecture quality. Best for classification and simple generation in the OpenAI ecosystem.
  5. Gemini 2.5 Flash-Lite ($0.10/M input) — Cheapest production-stable model with 1M context. Best for pure volume at minimum cost.

Context Window Comparison

Context window size determines how much text you can process in a single API call — critical for document analysis, long conversations, and RAG pipelines:

Context SizeModelsBest for
1M tokensGemini 2.5 Pro / Flash / Flash-Lite, Claude Opus 4.6, Claude Sonnet 4.6, GPT-5.4Long documents, entire codebases, extended conversations
256K tokensMistral Large 3Large documents, multi-doc analysis
200K tokensClaude Haiku 4.5Moderate-length document analysis
128K tokensGPT-5.4 mini, GPT-5.4 nano, Mistral Small 3.2Standard chat, short documents, classification

Batch API Pricing — 50% Off

Both OpenAI and Anthropic offer asynchronous batch processing at roughly 50% off standard rates. If your workload is not latency-sensitive (data enrichment, classification at scale, evals), batch mode halves your costs:

ModelBatch Input / 1MBatch Output / 1MNotes
GPT-5.4$1.25$7.50OpenAI Batch API
GPT-5.4 mini$0.375$2.25OpenAI Batch API
GPT-5.4 nano$0.10$0.625OpenAI Batch API
Claude Opus 4.6$2.50$12.50Anthropic Message Batches
Claude Sonnet 4.6$1.50$7.50Anthropic Message Batches
Claude Haiku 4.5$0.50$2.50Anthropic Message Batches

How to Choose the Right AI API in 2026

  • Running >100M tokens/month on simple tasks? Use Gemini 2.5 Flash-Lite ($0.10/M) or Mistral Small 3.2 ($0.10/M, output $0.30 vs $0.40). Both are production-stable with generous context windows.
  • Need reasoning + 1M context at mid price? Gemini 2.5 Flash ($0.30/$2.50) is the sweet spot. Reasoning-capable, 1M context, stable production model.
  • EU data residency required? Mistral AI (French company, EU-hosted option) or on-prem self-hosting with open Mistral weights.
  • OpenAI ecosystem (fine-tuning, Assistants, integrations)? Stay in GPT-5.4 family. GPT-5.4 nano ($0.20) for budget, GPT-5.4 ($2.50) for premium.
  • Best coding and agentic tasks? Claude Sonnet 4.6 ($3.00/M) leads on coding benchmarks in the mid-range tier.
  • Maximum performance regardless of cost? Claude Opus 4.6 ($5.00/M) or GPT-5.4 ($2.50/M). GPT-5.4 is cheaper but Opus leads on instruction-following for complex agentic workflows.
  • Latency-insensitive batch workloads? Use Batch API — 50% off all OpenAI and Anthropic models. Claude Haiku batch at $0.50/M input is the cheapest Claude batch option.

Prompt Caching — Up to 90% Off Repeated Context

Anthropic's prompt caching can dramatically reduce costs when you re-use the same large system prompt or document context across many requests. Cache reads cost as little as 10% of standard input price:

ModelCache Write (5m)Cache Write (1h)Cache Read
Claude Opus 4.6$6.25$10.00$0.50
Claude Sonnet 4.6$3.75$6.00$0.30
Claude Haiku 4.5$1.25$2.00$0.10

For applications where the same large context (system prompt + documents) is reused across many queries, caching typically reduces effective cost by 60–85%.

Frequently Asked Questions

What is the cheapest AI API in 2026?

The cheapest production-stable APIs are Gemini 2.5 Flash-Lite and Mistral Small 3.2, both at $0.10/M input tokens. Mistral Small 3.2 has a slightly cheaper output rate ($0.30 vs $0.40/M). For OpenAI specifically, GPT-5.4 nano at $0.20/M is the cheapest current-generation option.

Is GPT-4o mini still the cheapest OpenAI model?

No. GPT-4o mini is legacy and has been replaced by the GPT-5.4 family. The cheapest current OpenAI model is GPT-5.4 nano at $0.20/M input. Do not start new projects on GPT-4o mini.

What happened to Gemini 2.0 Flash?

Gemini 2.0 Flash is deprecated with a shutdown date of 2026-06-01. It has been replaced by Gemini 2.5 Flash-Lite ($0.10/M, 1M context) and Gemini 2.5 Flash ($0.30/M). Migrate before June 2026.

Which AI API has the best quality-to-cost ratio?

At the budget tier: Mistral Large 3 ($0.50/M) delivers premium-tier quality at mid-range prices, especially for multilingual workloads. At the mid-range: Claude Sonnet 4.6 ($3/M) leads on coding and agentic tasks. At the premium tier: Claude Opus 4.6 and GPT-5.4 are comparable, with GPT-5.4 slightly cheaper at $2.50/M vs $5.00/M.

Do any AI APIs offer EU data residency?

Mistral AI is a French company operating under EU law with EU-hosted inference endpoints. This makes it the default choice for GDPR-sensitive workloads that cannot use US-based providers. Mistral Large 3 and Small 3.2 weights are also available for full on-premise deployment.

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