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THE MODEL SELECTION SERIES

LLM API pricing calculator

API prices are usually quoted per million tokens, but your budget depends on how much context you send and how much output the model bills. Change the calculator to compare the same workload across providers.

Data reviewed · LiveBench question set: 25 June 2026 · View every source ↗ · Download the data ↓

01 / WHAT TO CHECK

Read input and output prices together

A model priced at $2 input and $10 output per million tokens costs $40 for 1,000 calls of 10,000 input and 2,000 output tokens each. Different tokenizers can turn the same text into different token counts.

02 / WHAT TO CHECK

Reasoning, caching and long context change the bill

Include billed reasoning tokens in output. Cache reads may be cheaper while cache writes can cost more. Some providers charge higher rates for large prompts or premium service tiers. Our estimate excludes those adjustments; check the linked source before committing a budget.

03 / WHAT TO CHECK

Direct API and routed prices are different offers

We use verified direct prices for selected OpenAI and Anthropic models and explicitly labeled OpenRouter catalog rates for other models. A catalog entry can route across endpoints with different prices and limits. Each profile shows the exact catalog identifier and any observed price difference.

04 / WHAT TO CHECK

Use Practical Value as a preference, not a financial forecast

The default score combines 70% task-weighted capability with 30% affordability rank within the snapshot. Move the slider to express your tradeoff. It does not predict task success, retries, hosting charges or actual monthly savings.

YOUR WORKLOAD. YOUR PRIORITIES.

Compare models for your workload

How our ratings work ↗

Estimate your monthly API cost

Tokens are the small pieces of text a model reads or produces. Include charged thinking tokens in output.

This estimate uses your token counts and standard text API rates. It excludes cache discounts, tool fees, retries and provider premiums. If your input and output exceed a model’s listed capacity, we leave its cost and Value rating blank. A large capacity does not guarantee that it will use every detail correctly.

THE MARKET MAP

Quality and cost

Sweet-spot zoneStrong price–quality tradeoffsTap a dot to inspect
SWEET SPOTCAPABILITY FIRST020406080100$1$10$100$1,000Agent Fit / 100 ↑← Lower cost · USD · log scale321SWEET SPOT020406080100$1$10$100$1,000Agent Fit / 100 ↑← Lower cost · USD · log scale321
78.9Agent Fit$1.94your workload
YOUR FAST SHORTLIST

Closest to the sweet spot

How we choose ↗
  1. 1
    DeepSeek V4.1 Flash ↗78.9 Agent Fit · $1.94
  2. 2
    Muse Spark 1.3 ↗79.3 Agent Fit · $21
  3. 3
    DeepSeek V4 Flash 0731 ↗71.1 Agent Fit · $1.44

Shaded zone: 75.2+ points and $21 or less. Numbers mark models with strong price–quality tradeoffs in or near this zone. On the dotted line, no other shown model is cheaper with an equal or higher score, or scores higher at the same price. Your chosen measure, usage and filters change this shortlist.

THE EVIDENCE, SIDE BY SIDE

AI model comparison table

61 of 61 models · select up to 4 to comparePrices in USD · tap ? for instant explanations
01
Agent Fit 78.9
Value 84.2
Your cost $1.94
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
81.1
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.0158 / $0.891
Price observation
OpenRouter catalog
02
DeepSeek V4 Flash Vision Exp ↗

DeepSeek · experimental · source default

Agent Fit 75.1
Value 79.5
Your cost $3.45
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
76.8
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.2156 / $0.6468
Price observation
OpenRouter catalog
03
DeepSeek V4 Flash 0731 ↗

DeepSeek · source default

Agent Fit 71.1
Value 79.3
Your cost $1.44
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
74.2
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.016 / $0.64
Price observation
OpenRouter catalog
04
Qwen3.8 27B ↗

Alibaba · source default

Agent Fit 73.5
Value 76.3
Your cost $6.8
1.00M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
75.3
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.24 / $2.2
Price observation
OpenRouter catalog
05
GPT-5.6 Luna ↗

OpenAI · source ID max; display xhigh

Agent Fit 70.4
Value 75.7
Your cost $4.4
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
73.6
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.2 / $1.2
Price observation
Direct API
06
GPT-6 Luna ↗

OpenAI · max

Agent Fit 67.7
Value 75.5
Your cost $2
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
72.0
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.1 / $0.5
Price observation
Direct API
07
GLM-5.3 Flash ↗

Z.ai · source default

Agent Fit 67.2
Value 74.5
Your cost $2.5
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
71.6
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.15 / $0.5
Price observation
OpenRouter catalog
08
Claude Haiku 5.5 ↗

Anthropic · max

Agent Fit 66.0
Value 74.4
Your cost $2
1.00M contextTool calling
Benchmarks & API pricing +
LiveBench
67.9
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.1 / $0.5
Price observation
Direct API
09
DeepSeek V4 Pro 0813 ↗

DeepSeek · source default

Agent Fit 73.3
Value 74.0
Your cost $10.56
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
77.4
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.66 / $1.98
Price observation
OpenRouter catalog
10
GLM-5.3 ↗

Z.ai · source default

Agent Fit 73.7
Value 73.8
Your cost $10.6
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
76.1
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.1 / $4.8
Price observation
OpenRouter catalog
11
GPT-5.4 nano ↗

OpenAI · xhigh

Agent Fit 67.7
Value 73.3
Your cost $4.5
400K contextTool calling
Benchmarks & API pricing +
LiveBench
69.6
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.2 / $1.25
Price observation
Direct API
12
DeepSeek V4 Flash ↗

DeepSeek · source default

Agent Fit 61.6
Value 73.1
Your cost $1.27
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
65.5
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.091 / $0.182
Price observation
OpenRouter catalog
AI model benchmarks, aggregate ratings, API pricing and context windows. Snapshot 2026-10-15.
CompareInput / outputUSD / 1M tokens
01
DeepSeek V4.1 Flash ↗DeepSeek · maxOpen weights
78.984.2—81.1—$1.941.05M$0.0158 / $0.891OpenRouter catalog
02
DeepSeek V4 Flash Vision Exp ↗DeepSeek · experimental · source defaultOpen weightsPreview
75.179.5—76.8—$3.451.05M$0.2156 / $0.6468OpenRouter catalog
03
DeepSeek V4 Flash 0731 ↗DeepSeek · source defaultOpen weights
71.179.3—74.2—$1.441.05M$0.016 / $0.64OpenRouter catalog
04
Qwen3.8 27B ↗Alibaba · source defaultOpen weights
73.576.3—75.3—$6.81.00M$0.24 / $2.2OpenRouter catalog
05
GPT-5.6 Luna ↗OpenAI · source ID max; display xhighSource labels disagree
70.475.7—73.6—$4.41.05M$0.2 / $1.2Direct API
06
GPT-6 Luna ↗OpenAI · max
67.775.5—72.0—$21.05M$0.1 / $0.5Direct API
07
GLM-5.3 Flash ↗Z.ai · source defaultOpen weights
67.274.5—71.6—$2.51.05M$0.15 / $0.5OpenRouter catalog
08
Claude Haiku 5.5 ↗Anthropic · max
66.074.4—67.9—$21.00M$0.1 / $0.5Direct API
09
DeepSeek V4 Pro 0813 ↗DeepSeek · source defaultOpen weights
73.374.0—77.4—$10.561.05M$0.66 / $1.98OpenRouter catalog
10
GLM-5.3 ↗Z.ai · source defaultOpen weights
73.773.8—76.1—$10.61.05M$0.1 / $4.8OpenRouter catalog
11
GPT-5.4 nano ↗OpenAI · xhigh
67.773.3—69.6—$4.5400K$0.2 / $1.25Direct API
12
DeepSeek V4 Flash ↗DeepSeek · source defaultOpen weights
61.673.1—65.5—$1.271.05M$0.091 / $0.182OpenRouter catalog
13
Mistral Large 4 ↗Mistral · highPreview
72.071.6—71.8—$10.981.05M$0.68 / $2.09OpenRouter catalog
14
Gemini 3.7 Flash ↗Google · high
76.171.350.02 sources78.81,486±5 · preliminary$151.05M$0.75 / $3.75OpenRouter catalog
15
Muse Spark 1.3 ↗Meta · xhigh
79.370.5—81.6—$211.05M$1.25 / $4.25OpenRouter catalog
16
MiniMax M3 ↗MiniMax · source default
63.169.5—67.3—$5.41.05M$0.3 / $1.2OpenRouter catalog
17
Gemini 3.8 Flash ↗Google · high
73.369.455.62 sources75.81,497±5 · preliminary$151.05M$0.75 / $3.75OpenRouter catalog
18
Qwen3.6 Plus ↗Alibaba · source default
63.969.0—68.9—$7.151.00M$0.325 / $1.95OpenRouter catalog
19
Muse Spark 1.2 ↗Meta · xhigh
76.368.455.62 sources78.01,492±8$211.05M$1.25 / $4.25OpenRouter catalog
20
Kimi K2.6 ↗Moonshot AI · thinkingOpen weights
66.967.5—70.5—$13.32262K$0.65 / $3.41OpenRouter catalog
21
Gemini 3.6 Flash ↗Google · high
70.367.311.12 sources73.61,482±4$151.05M$0.75 / $3.75OpenRouter catalog
22
DeepSeek V4 Pro ↗DeepSeek · source defaultOpen weights
67.167.1—71.6—$13.371.05M$0.9553 / $1.91OpenRouter catalog
23
GLM-5.2 ↗Z.ai · source defaultOpen weights
68.567.1—73.2—$14.41.05M$0.04 / $7OpenRouter catalog
24
Muse Spark 1.1 ↗Meta · source ID xhigh; display highSource labels disagree
74.066.8—75.3—$211.05M$1.25 / $4.25OpenRouter catalog
25
Nemotron 3 Ultra ↗NVIDIA · 550B A55B · source defaultOpen weights
63.866.4—67.4—$10.8262K$0.6 / $2.4OpenRouter catalog
26
Grok 4.6 ↗xAI · source default
75.365.6—78.0—$32500K$2 / $6OpenRouter catalog
27
Kimi K3 ↗Moonshot AI · source defaultOpen weights
77.465.6—79.2—$351.05M$0.5 / $15OpenRouter catalog
59.565.5—63.9—$81.05M$0.3 / $2.5OpenRouter catalog
29
Qwen3.6 27B ↗Alibaba · source defaultOpen weights
60.065.3—64.0—$9.6262K$0.32 / $3.2OpenRouter catalog
30
Kimi K2.7 Code ↗Moonshot AI · source defaultOpen weights
64.865.0—68.4—$13.41262K$0.6712 / $3.35OpenRouter catalog
31
Grok 4.7 ↗xAI · xhigh
73.764.5—77.4—$32500K$2 / $6OpenRouter catalog
32
GPT-6.1 Sol ↗OpenAI · max
77.764.555.62 sources81.61,484±9$401.05M$2 / $10Direct API
33
Inkling ↗Thinking Machines · xhighOpen weights
68.964.3—71.9—$18.1524K$1 / $4.05OpenRouter catalog
34
Grok 4.5 ↗xAI · source default
73.164.1—75.8—$32500K$2 / $6OpenRouter catalog
35
Qwen3.7 Max ↗Alibaba · source default
70.463.3—73.1—$23.61.00M$1.48 / $4.43OpenRouter catalog
36
GPT-6 Sol ↗OpenAI · max
74.762.4—79.2—$401.05M$2 / $10Direct API
37
Gemini 3.5 Flash ↗Google · high
70.861.516.72 sources74.61,478±4$331.05M$1.5 / $9OpenRouter catalog
38
Claude Sonnet 5 ↗Anthropic · xhigh
73.361.4—76.0—$401.00M$2 / $10Direct API
39
GPT-5.4 mini ↗OpenAI · xhigh
62.560.8—66.4—$16.5400K$0.75 / $4.5Direct API
40
Claude Opus 5.5 ↗Anthropic · max
79.460.7—83.2—$801.00M$4 / $20Direct API
41
GPT-5.6 Terra ↗OpenAI · source ID max; display xhighSource labels disagree
74.160.4—77.9—$441.05M$2 / $12Direct API
42
Muse Wonder ↗Meta · max · version 1.0
78.360.0—81.2—$801.05M$4 / $20OpenRouter catalog
43
Gemini 3.1 Pro Preview ↗Google · highPreview
73.259.8—77.0—$441.05M$2 / $12OpenRouter catalog
44
Claude Sonnet 5.5 ↗Anthropic · max
71.059.8—75.7—$401.00M$2 / $10Direct API
45
GPT-5.6 Sol ↗OpenAI · source ID max; display xhighSource labels disagree
77.159.1—81.1—$801.05M$4 / $20Direct API
46
GPT-5.4 ↗OpenAI · xhigh
74.458.8—78.0—$551.05M$2.5 / $15Direct API
47
GPT-5.2 Codex ↗OpenAI · source default
69.956.4—74.0—$45.5400K$1.75 / $14OpenRouter catalog
48
GPT-5.2 ↗OpenAI · high · 2025-12-11
69.856.4—74.6—$45.5400K$1.75 / $14OpenRouter catalog
49
Claude Fable 5.1 ↗Anthropic · max
79.656.394.42 sources83.41,501±6$2001.00M$10 / $50Direct API
50
Claude Opus 5 ↗Anthropic · max
75.756.161.12 sources80.11,489±5$1001.00M$5 / $25Direct API
51
Claude Fable 5 ↗Anthropic · source ID max; display xhighSource labels disagree
79.055.8—83.0—$2001.00M$10 / $50Direct API
52
Grok 4.3 ↗xAI · source default
56.055.8—62.2—$17.51.00M$1.25 / $2.5OpenRouter catalog
53
GPT-6 Astra ↗OpenAI · max
78.655.644.42 sources82.21,475±7$2001.05M$10 / $50Direct API
54
Claude Sonnet 4.6 ↗Anthropic · medium · adaptive thinking
69.454.8—73.0—$601.00M$3 / $15Direct API
55
GPT-5.5 ↗OpenAI · xhigh
75.854.6—80.2—$1101.05M$5 / $30Direct API
56
Claude Opus 4.8 ↗Anthropic · max
73.054.2—76.2—$1001.00M$5 / $25Direct API
57
Claude Opus 4.7 ↗Anthropic · xhigh
72.954.1—76.5—$1001.00M$5 / $25Direct API
58
Claude Opus 4.6 ↗Anthropic · high · adaptive thinking
70.552.555.62 sources74.51,504±3$1001.00M$5 / $25Direct API
59
Claude Opus 4.5 ↗Anthropic · high · 64K thinking
66.749.8—72.6—$100200K$5 / $25Direct API
60
Qwen3.8 Flash Next ↗Alibaba · source defaultOpen weights
76.2——76.2——Not verifiedNot verified
61
Qwen3.8 Max ↗Alibaba · source default · version mapping unconfirmed
77.0——78.5——Not verifiedNot verified

— means a comparable result is unavailable. Consensus combines results for only 10 matched configurations. Model IDs, reasoning settings, source links and pricing differences are available on every model page. Downloadable model files can still have restrictions on commercial use.

LOOK BEYOND ONE NUMBER

Compare your shortlist

Change models ↑
ReasoningCodingAgentic codeMathematicsDataLanguageInstructions
Claude Opus 5.5GPT-6 SolDeepSeek V4.1 Flash
Selected AI models compared, with scores from the same LiveBench question set
MeasureClaude Opus 5.5maxGPT-6 SolmaxDeepSeek V4.1 Flashmax
Agent Fit79.474.778.9
Practical Value60.762.484.2
Evidence ConsensusInsufficient evidenceInsufficient evidenceInsufficient evidence
Workload cost$80$40$1.94
Context window1.00M1.05M1.05M
Tool callingSupportedSupportedSupported
Reasoning92.288.786.7
Coding89.381.880.0
Agentic coding71.752.977.3
Mathematics97.196.493.3
Data analysis80.381.279.3
Language86.385.381.2
Instruction following65.768.670.0
Input / output per 1M$4 / $20$2 / $10$0.0158 / $0.891
AI Agent Store · Model comparisons · Data reviewed 2026-10-15Sources, limitations & corrections ↗