Head-to-Head 2026 LLM Pricing & Capability Matchups

Compare exact token billing, Prompt Caching discounts, max output ceilings, and monthly workload savings across 22 high-intent 2026 model matchups.

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Showing 22 of 22 curated head-to-head matchups
Anthropic vs Anthropic Same-Provider Tier Matchup

Claude Opus 5.5 vs Claude Sonnet 5.5

$4 vs $2 in $20 vs $10 out
1M vs 1M context
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Anthropic vs Anthropic Same-Provider Tier Matchup

Claude Sonnet 5.5 vs Claude Haiku 5.5

$2 vs $0.1 in $10 vs $0.5 out
1M vs 1M context
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Anthropic vs Anthropic Same-Provider Tier Matchup

Claude Fable 5.2 vs Claude Opus 5.5

$8 vs $4 in $40 vs $20 out
1M vs 1M context
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OpenAI vs OpenAI Same-Provider Tier Matchup

GPT-6.1 Terra Pro vs GPT-6 Luna

$1 vs $0.1 in $5 vs $0.5 out
1.1M vs 1.1M context
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OpenAI vs OpenAI Same-Provider Tier Matchup

GPT-6 Astra Pro vs GPT-6.1 Sol Pro

$10 vs $2 in $50 vs $10 out
1.1M vs 1.1M context
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Google vs Google Same-Provider Tier Matchup

Gemini 4 Argon vs Gemini 3.8 Flash

$2 vs $0.825 in $10 vs $4.125 out
1.0M vs 1.0M context
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DeepSeek vs DeepSeek Same-Provider Tier Matchup

DeepSeek V4 Pro 0813 vs DeepSeek V4.1 Flash

$0.111 vs $0.3 in $4.44 vs $1.2 out
1.0M vs 1.0M context
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OpenAI vs Anthropic Cross-Provider Benchmark

GPT-6.1 Terra Pro vs Claude Opus 5.5

$1 vs $4 in $5 vs $20 out
1.1M vs 1M context
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OpenAI vs Anthropic Cross-Provider Benchmark

GPT-6.1 Sol Pro vs Claude Sonnet 5.5

$2 vs $2 in $10 vs $10 out
1.1M vs 1M context
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OpenAI vs Google Cross-Provider Benchmark

GPT-6.1 Terra Pro vs Gemini 4 Hydrogen

$1 vs $1.5 in $5 vs $7.5 out
1.1M vs 1.0M context
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Anthropic vs Google Cross-Provider Benchmark

Claude Sonnet 5.5 vs Gemini 4 Argon

$2 vs $2 in $10 vs $10 out
1M vs 1.0M context
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xAI vs Anthropic Cross-Provider Benchmark

Grok 4.7 vs Claude Sonnet 5.5

$2 vs $2 in $6 vs $10 out
500K vs 1M context
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xAI vs OpenAI Cross-Provider Benchmark

Grok 4.7 vs GPT-6.1 Sol Pro

$2 vs $2 in $6 vs $10 out
500K vs 1.1M context
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Qwen vs Anthropic Cross-Provider Benchmark

Qwen3.8 Max Prime vs Claude Opus 5.5

$4 vs $4 in $12 vs $20 out
1M vs 1M context
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Mistral vs Meta Cross-Provider Benchmark

Mistral Large 4 vs Muse Spark Open

$0.7 vs $1.25 in $2.1 vs $4.25 out
1.0M vs 1.0M context
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DeepSeek vs OpenAI Cross-Provider Benchmark

DeepSeek V4.1 Flash vs GPT-6 Luna

$0.3 vs $0.1 in $1.2 vs $0.5 out
1.0M vs 1.1M context
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DeepSeek vs Qwen Cross-Provider Benchmark

DeepSeek V4.1 Flash 1017 vs Qwen3.8 Flash

$0.038 vs $0.15 in $0.5 vs $0.47 out
1.0M vs 1M context
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Google vs Anthropic Cross-Provider Benchmark

Gemini 3.8 Flash vs Claude Haiku 5.5

$0.825 vs $0.1 in $4.125 vs $0.5 out
1.0M vs 1M context
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Moonshot vs DeepSeek Cross-Provider Benchmark

Kimi K3.1 Pro vs DeepSeek V4 Pro 0813

$2 vs $0.111 in $10 vs $4.44 out
1.0M vs 1.0M context
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Z.ai / GLM vs Qwen Cross-Provider Benchmark

GLM 5.3 Prime vs Qwen3.8 Max Prime

$2.8 vs $4 in $8.8 vs $12 out
1M vs 1M context
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Google vs Qwen Cross-Provider Benchmark

Gemini Omni 1.2 Flash vs Qwen3.8 Omni Flash

$1.5 vs $0.15 in $9 vs $0.47 out
131K vs 1M context
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MiniMax vs Z.ai / GLM Cross-Provider Benchmark

MiniMax M3.1 Flash vs GLM 5.3 Flash

$0.15 vs $0.04 in $0.6 vs $0.078 out
1.0M vs 1.0M context
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All Curated 2026 Head-to-Head Matchups

Input and output unit rate comparison across curated 2026 LLM pairs
Model Comparisons Provider Uncached Input ($ / 1M tokens) Output Completion ($ / 1M tokens) Context Window (tokens)
Claude Opus 5.5 vs Claude Sonnet 5.5Anthropic / Anthropic$4 vs $2$20 vs $101M vs 1M
Claude Sonnet 5.5 vs Claude Haiku 5.5Anthropic / Anthropic$2 vs $0.1$10 vs $0.51M vs 1M
Claude Fable 5.2 vs Claude Opus 5.5Anthropic / Anthropic$8 vs $4$40 vs $201M vs 1M
GPT-6.1 Terra Pro vs GPT-6 LunaOpenAI / OpenAI$1 vs $0.1$5 vs $0.51.1M vs 1.1M
GPT-6 Astra Pro vs GPT-6.1 Sol ProOpenAI / OpenAI$10 vs $2$50 vs $101.1M vs 1.1M
Gemini 4 Argon vs Gemini 3.8 FlashGoogle / Google$2 vs $0.825$10 vs $4.1251.0M vs 1.0M
DeepSeek V4 Pro 0813 vs DeepSeek V4.1 FlashDeepSeek / DeepSeek$0.111 vs $0.3$4.44 vs $1.21.0M vs 1.0M
GPT-6.1 Terra Pro vs Claude Opus 5.5OpenAI / Anthropic$1 vs $4$5 vs $201.1M vs 1M
GPT-6.1 Sol Pro vs Claude Sonnet 5.5OpenAI / Anthropic$2 vs $2$10 vs $101.1M vs 1M
GPT-6.1 Terra Pro vs Gemini 4 HydrogenOpenAI / Google$1 vs $1.5$5 vs $7.51.1M vs 1.0M
Claude Sonnet 5.5 vs Gemini 4 ArgonAnthropic / Google$2 vs $2$10 vs $101M vs 1.0M
Grok 4.7 vs Claude Sonnet 5.5xAI / Anthropic$2 vs $2$6 vs $10500K vs 1M
Grok 4.7 vs GPT-6.1 Sol ProxAI / OpenAI$2 vs $2$6 vs $10500K vs 1.1M
Qwen3.8 Max Prime vs Claude Opus 5.5Qwen / Anthropic$4 vs $4$12 vs $201M vs 1M
Mistral Large 4 vs Muse Spark OpenMistral / Meta$0.7 vs $1.25$2.1 vs $4.251.0M vs 1.0M
DeepSeek V4.1 Flash vs GPT-6 LunaDeepSeek / OpenAI$0.3 vs $0.1$1.2 vs $0.51.0M vs 1.1M
DeepSeek V4.1 Flash 1017 vs Qwen3.8 FlashDeepSeek / Qwen$0.038 vs $0.15$0.5 vs $0.471.0M vs 1M
Gemini 3.8 Flash vs Claude Haiku 5.5Google / Anthropic$0.825 vs $0.1$4.125 vs $0.51.0M vs 1M
Kimi K3.1 Pro vs DeepSeek V4 Pro 0813Moonshot / DeepSeek$2 vs $0.111$10 vs $4.441.0M vs 1.0M
GLM 5.3 Prime vs Qwen3.8 Max PrimeZ.ai / GLM / Qwen$2.8 vs $4$8.8 vs $121M vs 1M
Gemini Omni 1.2 Flash vs Qwen3.8 Omni FlashGoogle / Qwen$1.5 vs $0.15$9 vs $0.47131K vs 1M
MiniMax M3.1 Flash vs GLM 5.3 FlashMiniMax / Z.ai / GLM$0.15 vs $0.04$0.6 vs $0.0781.0M vs 1.0M

Evaluating LLM Unit Price vs Output Token Verbosity

Headline input token prices rarely tell the full FinOps story: output tokens cost 3× to 8× more than input tokens, and reasoning models emit chain-of-thought tokens billed at the output rate. Use each matchup’s interactive slider to test your real prompt-to-output ratio, browse individual Model Pricing Sheets, or verify concurrency limits in the 429 Rate Limit Calculator.

Frequently Asked Questions

How are monthly cost deltas calculated between two LLM models?

Both models are evaluated against identical daily request volume, input token count, prompt cache hit percentage, and output completion token count over a 30-day billing cycle.

Can I swap Model A and Model B inside any comparison simulator?

Yes. Every comparison page includes a one-click Swap A/B button that inverts the baseline model and recalculates dollar and percentage savings instantly in your browser.

How do I validate JSON tool schemas when migrating between OpenAI, Anthropic, and Gemini?

Use the Strict JSON Schema & Zod Converter on DevToken to enforce additionalProperties: false across providers, and check LLMEOL for EOL timelines.