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LLM Pricing Comparison 2026: Every AI Model's Real Cost

February 20, 2026 · By Ben Grayson, Bluegrass Digital Advantage

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TL;DR: Cheapest option is GPT-OSS-20B at $0.05/M input. Best value is GPT-5 mini at $0.25/M. NEW Gemini 3.1 Pro leads benchmarks at $2/$12 (see full review). Premium choice is Claude Opus 4.6 at $5/$25. Most expensive is Grok 4 at $30/M output.

📑 Quick Navigation

  • Price Overview by Tier
  • Frontier Models
  • Mid-Tier Models
  • Budget & Open-Source
  • Reasoning Models
  • Cost Calculator Tips
  • Our Recommendations

Price Overview: February 2026

The AI pricing landscape has shifted dramatically. Claude Opus dropped 67% (from $15/$75 to $5/$25), while xAI's Grok 4 commands premium pricing at $30/M output. Here's the complete breakdown:

Model Provider Input $/M Output $/M Context Tier
Grok 4 xAI $15.00 $30.00 256K Premium
GPT-5.2 Pro OpenAI $10.00 $30.00 200K Premium
Claude Opus 4.6 NEW Anthropic $5.00 $25.00 1M Premium
Gemini 3.1 Pro NEW Google $2.00 $12.00 1M+ Best Reasoning
Gemini 3 Pro Google $3.50 $10.50 1M+ Premium
Claude Sonnet 4.6 NEW Anthropic $1.00 $5.00 1M Best Value
GPT-5 mini OpenAI $0.25 $1.00 128K Best Value
Gemini 3 Flash Google $0.10 $0.40 1M Budget
Claude Haiku 4.5 Anthropic $0.25 $1.25 200K Budget
Llama 4 405B Meta (via API) $0.80 $2.40 128K Open Source
GPT-OSS-20B OpenAI $0.05 $0.15 32K Cheapest

Frontier Models Deep Dive

Claude Opus 4.6 — The New Price Leader

Anthropic's flagship dropped from $15/$75 to $5/$25 per million tokens—a 67% reduction that makes it competitive with GPT-5's mid-tier. With a 1M token context window (doubled from Opus 4.5), it's now the best value for complex reasoning tasks.

  • Best for: Complex coding, research, agentic workflows
  • Context window: 1,000,000 tokens
  • SWE-Bench: 80.9% (industry leading)
  • Cost for 1M input + 100K output: $7.50

GPT-5.2 Pro — Maximum Intelligence

OpenAI's most capable model at $10/$30. Excels at mathematical reasoning and code generation but the price premium is significant. Best reserved for tasks where accuracy is paramount.

Gemini 3.1 Pro — Benchmark Leader NEW

Released February 19, 2026, Google's latest flagship scores 77.1% on ARC-AGI-2 (2x Gemini 3 Pro) and 44.4% on Humanity's Last Exam—both records. At $2/$12 per million tokens, it's significantly cheaper than competing flagships while leading most benchmarks. Read our full Gemini 3.1 Pro review →

  • Best for: Complex reasoning, math, agentic workflows
  • Context window: 1,000,000+ tokens
  • ARC-AGI-2: 77.1% (industry leading)
  • Cost for 1M input + 100K output: $3.20

Grok 4 — Premium Positioning

xAI's flagship at $15/$30 is the most expensive option. The 4-agent architecture (Grok, Harper, Benjamin, Lucas) offers unique capabilities but the 600x cost premium over budget options requires careful justification.

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Mid-Tier: The Sweet Spot

Claude Sonnet 4.6 — Best Overall Value

At $1/$5 per million tokens with a 1M context window, Sonnet 4.6 delivers ~90% of Opus capability at 1/5 the cost. For most production workloads, this is the optimal choice.

Task Type Recommended Model Est. Cost/1K Tasks
Code Generation Claude Sonnet 4.6 $2-5
Document Analysis Gemini 3 Pro $3-8
Customer Support GPT-5 mini $0.50-1
Complex Research Claude Opus 4.6 $10-25
Complex Reasoning Gemini 3.1 Pro NEW $2-6

Budget & Open-Source Options

For high-volume, cost-sensitive applications:

  • GPT-OSS-20B ($0.05/$0.15): OpenAI's open-source model. Surprisingly capable for simple tasks.
  • Gemini 3 Flash ($0.10/$0.40): Google's speed-optimized model with 1M context.
  • Llama 4 405B ($0.80/$2.40 via Together/Fireworks): Meta's open model, self-hostable for zero marginal cost.

Reasoning Models: o3 and o4-mini

OpenAI's reasoning models trade speed for accuracy. Pricing is different—charged by "reasoning tokens" consumed during thinking:

Model Input $/M Output $/M Best For
o4-mini-high $1.00 $4.00 Technical precision, coding
o3 $3.00 $12.00 Complex reasoning, math
o3-mini $0.50 $2.00 Balanced reasoning/cost

Cost Calculator Tips

Quick Estimation Formula

Monthly Cost = (Input Tokens × Input Price) + (Output Tokens × Output Price)

Average ratios: Chat apps = 3:1 input:output | Code gen = 1:2 | Summarization = 10:1

Example: A chatbot handling 100K conversations/month, averaging 500 input + 300 output tokens each:

  • GPT-5 mini: (50M × $0.25/M) + (30M × $1/M) = $42.50/month
  • Claude Sonnet 4.6: (50M × $1/M) + (30M × $5/M) = $200/month
  • Claude Opus 4.6: (50M × $5/M) + (30M × $25/M) = $1,000/month

Our Recommendations

For Startups & SMBs

Start with Claude Sonnet 4.6 or GPT-5 mini. Both offer excellent capability-to-cost ratios. Use Opus/GPT-5.2 Pro only for edge cases requiring maximum accuracy.

For Enterprises

Implement a tiered routing strategy: Route simple queries to Flash/Haiku, standard to Sonnet/GPT-5 mini, complex to Opus. This can cut costs 60-80%.

For Developers

Consider Llama 4 405B for self-hosting. Initial infra investment pays off at ~$500/month in API costs.

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Pricing Changes to Watch

  • Gemini 3.1 Pro: NEW Just released at $2/$12—significantly cheaper than Claude Opus while leading benchmarks. See our review.
  • Claude Opus 4.6: Just dropped 67%. May stabilize or continue falling.
  • GPT-5.3: Expected Q2 2026. Likely to reset pricing tiers.
  • Grok 4.5: xAI hinted at enterprise tier discounts coming.

This article is updated weekly as pricing changes. Last verified: February 20, 2026.

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