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THE MODEL SELECTION SERIES

Best models for AI agents

An agent model needs to interpret a goal, obey constraints, use tools and recover from mistakes. Our General agent profile weights reasoning, instruction following, agentic coding and data work to build a practical first shortlist.

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

01 / WHAT TO CHECK

Start with the job, then the model

Use the General agent profile for mixed workflows. Switch to Coding assistant for repository work, Research & analysis for structured information, or Writing & support for language-heavy tasks. These editorial weights express priorities; they do not reproduce your production environment.

02 / WHAT TO CHECK

Tool support is only the entry ticket

A tool-calling API can return a correctly shaped function call while choosing the wrong action. Check the catalog support flag, read Berkeley’s separate tool-use results, and test the exact tools, schemas and permissions your own agent will use.

03 / WHAT TO CHECK

Measure the cost of a completed task

A cheap token rate can still produce an expensive agent if it needs repeated attempts or very long reasoning. Enter total billed output, including hidden reasoning where charged. Track success rate, retries and human review alongside the bill.

04 / WHAT TO CHECK

Run a small, representative evaluation

Take 20–50 real tasks, remove private data where appropriate, and define what a successful result looks like before running models. Keep the prompt, tool definitions, reasoning budget and retry policy fixed. Include ambiguous requests, missing inputs and failing tools.

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
Claude Fable 5.1 ↗

Anthropic · max

Agent Fit 79.6
Value 56.3
Your cost $200
1.00M contextTool calling
Benchmarks & API pricing +
LiveBench
83.4
Evidence Consensus
94.4
Input / output per 1M tokens
$10 / $50
Price observation
Direct API
02
Claude Opus 5.5 ↗

Anthropic · max

Agent Fit 79.4
Value 60.7
Your cost $80
1.00M contextTool calling
Benchmarks & API pricing +
LiveBench
83.2
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$4 / $20
Price observation
Direct API
03
Muse Spark 1.3 ↗

Meta · xhigh

Agent Fit 79.3
Value 70.5
Your cost $21
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
81.6
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$1.25 / $4.25
Price observation
OpenRouter catalog
04
Claude Fable 5 ↗

Anthropic · source ID max; display xhigh

Agent Fit 79.0
Value 55.8
Your cost $200
1.00M contextTool calling
Benchmarks & API pricing +
LiveBench
83.0
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$10 / $50
Price observation
Direct API
05
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
06
GPT-6 Astra ↗

OpenAI · max

Agent Fit 78.6
Value 55.6
Your cost $200
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
82.2
Evidence Consensus
44.4
Input / output per 1M tokens
$10 / $50
Price observation
Direct API
07
Muse Wonder ↗

Meta · max · version 1.0

Agent Fit 78.3
Value 60.0
Your cost $80
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
81.2
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$4 / $20
Price observation
OpenRouter catalog
08
GPT-6.1 Sol ↗

OpenAI · max

Agent Fit 77.7
Value 64.5
Your cost $40
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
81.6
Evidence Consensus
55.6
Input / output per 1M tokens
$2 / $10
Price observation
Direct API
09
Kimi K3 ↗

Moonshot AI · source default

Agent Fit 77.4
Value 65.6
Your cost $35
1.05M contextOpen weightsTool calling
Benchmarks & API pricing +
LiveBench
79.2
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$0.5 / $15
Price observation
OpenRouter catalog
10
GPT-5.6 Sol ↗

OpenAI · source ID max; display xhigh

Agent Fit 77.1
Value 59.1
Your cost $80
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
81.1
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$4 / $20
Price observation
Direct API
11
Qwen3.8 Max ↗

Alibaba · source default · version mapping unconfirmed

Agent Fit 77.0
Value —
Your cost —
Not verified context
Benchmarks & API pricing +
LiveBench
78.5
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
Not verified
Price observation
Not verified
12
Muse Spark 1.2 ↗

Meta · xhigh

Agent Fit 76.3
Value 68.4
Your cost $21
1.05M contextTool calling
Benchmarks & API pricing +
LiveBench
78.0
Evidence Consensus
55.6
Input / output per 1M tokens
$1.25 / $4.25
Price observation
OpenRouter catalog
AI model benchmarks, aggregate ratings, API pricing and context windows. Snapshot 2026-10-15.
CompareInput / outputUSD / 1M tokens
01
Claude Fable 5.1 ↗Anthropic · max
79.656.394.42 sources83.41,501±6$2001.00M$10 / $50Direct API
02
Claude Opus 5.5 ↗Anthropic · max
79.460.7—83.2—$801.00M$4 / $20Direct API
03
Muse Spark 1.3 ↗Meta · xhigh
79.370.5—81.6—$211.05M$1.25 / $4.25OpenRouter catalog
04
Claude Fable 5 ↗Anthropic · source ID max; display xhighSource labels disagree
79.055.8—83.0—$2001.00M$10 / $50Direct API
05
DeepSeek V4.1 Flash ↗DeepSeek · maxOpen weights
78.984.2—81.1—$1.941.05M$0.0158 / $0.891OpenRouter catalog
06
GPT-6 Astra ↗OpenAI · max
78.655.644.42 sources82.21,475±7$2001.05M$10 / $50Direct API
07
Muse Wonder ↗Meta · max · version 1.0
78.360.0—81.2—$801.05M$4 / $20OpenRouter catalog
08
GPT-6.1 Sol ↗OpenAI · max
77.764.555.62 sources81.61,484±9$401.05M$2 / $10Direct API
09
Kimi K3 ↗Moonshot AI · source defaultOpen weights
77.465.6—79.2—$351.05M$0.5 / $15OpenRouter catalog
10
GPT-5.6 Sol ↗OpenAI · source ID max; display xhighSource labels disagree
77.159.1—81.1—$801.05M$4 / $20Direct API
11
Qwen3.8 Max ↗Alibaba · source default · version mapping unconfirmed
77.0——78.5——Not verifiedNot verified
12
Muse Spark 1.2 ↗Meta · xhigh
76.368.455.62 sources78.01,492±8$211.05M$1.25 / $4.25OpenRouter catalog
13
Qwen3.8 Flash Next ↗Alibaba · source defaultOpen weights
76.2——76.2——Not verifiedNot verified
14
Gemini 3.7 Flash ↗Google · high
76.171.350.02 sources78.81,486±5 · preliminary$151.05M$0.75 / $3.75OpenRouter catalog
15
GPT-5.5 ↗OpenAI · xhigh
75.854.6—80.2—$1101.05M$5 / $30Direct API
16
Claude Opus 5 ↗Anthropic · max
75.756.161.12 sources80.11,489±5$1001.00M$5 / $25Direct API
17
Grok 4.6 ↗xAI · source default
75.365.6—78.0—$32500K$2 / $6OpenRouter catalog
18
DeepSeek V4 Flash Vision Exp ↗DeepSeek · experimental · source defaultOpen weightsPreview
75.179.5—76.8—$3.451.05M$0.2156 / $0.6468OpenRouter catalog
19
GPT-6 Sol ↗OpenAI · max
74.762.4—79.2—$401.05M$2 / $10Direct API
20
GPT-5.4 ↗OpenAI · xhigh
74.458.8—78.0—$551.05M$2.5 / $15Direct API
21
GPT-5.6 Terra ↗OpenAI · source ID max; display xhighSource labels disagree
74.160.4—77.9—$441.05M$2 / $12Direct API
22
Muse Spark 1.1 ↗Meta · source ID xhigh; display highSource labels disagree
74.066.8—75.3—$211.05M$1.25 / $4.25OpenRouter catalog
23
GLM-5.3 ↗Z.ai · source defaultOpen weights
73.773.8—76.1—$10.61.05M$0.1 / $4.8OpenRouter catalog
24
Grok 4.7 ↗xAI · xhigh
73.764.5—77.4—$32500K$2 / $6OpenRouter catalog
25
Qwen3.8 27B ↗Alibaba · source defaultOpen weights
73.576.3—75.3—$6.81.00M$0.24 / $2.2OpenRouter catalog
26
Gemini 3.8 Flash ↗Google · high
73.369.455.62 sources75.81,497±5 · preliminary$151.05M$0.75 / $3.75OpenRouter catalog
27
Claude Sonnet 5 ↗Anthropic · xhigh
73.361.4—76.0—$401.00M$2 / $10Direct API
28
DeepSeek V4 Pro 0813 ↗DeepSeek · source defaultOpen weights
73.374.0—77.4—$10.561.05M$0.66 / $1.98OpenRouter catalog
29
Gemini 3.1 Pro Preview ↗Google · highPreview
73.259.8—77.0—$441.05M$2 / $12OpenRouter catalog
30
Grok 4.5 ↗xAI · source default
73.164.1—75.8—$32500K$2 / $6OpenRouter catalog
31
Claude Opus 4.8 ↗Anthropic · max
73.054.2—76.2—$1001.00M$5 / $25Direct API
32
Claude Opus 4.7 ↗Anthropic · xhigh
72.954.1—76.5—$1001.00M$5 / $25Direct API
33
Mistral Large 4 ↗Mistral · highPreview
72.071.6—71.8—$10.981.05M$0.68 / $2.09OpenRouter catalog
34
DeepSeek V4 Flash 0731 ↗DeepSeek · source defaultOpen weights
71.179.3—74.2—$1.441.05M$0.016 / $0.64OpenRouter catalog
35
Claude Sonnet 5.5 ↗Anthropic · max
71.059.8—75.7—$401.00M$2 / $10Direct API
36
Gemini 3.5 Flash ↗Google · high
70.861.516.72 sources74.61,478±4$331.05M$1.5 / $9OpenRouter catalog
37
Claude Opus 4.6 ↗Anthropic · high · adaptive thinking
70.552.555.62 sources74.51,504±3$1001.00M$5 / $25Direct API
38
Qwen3.7 Max ↗Alibaba · source default
70.463.3—73.1—$23.61.00M$1.48 / $4.43OpenRouter catalog
39
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
40
Gemini 3.6 Flash ↗Google · high
70.367.311.12 sources73.61,482±4$151.05M$0.75 / $3.75OpenRouter catalog
41
GPT-5.2 Codex ↗OpenAI · source default
69.956.4—74.0—$45.5400K$1.75 / $14OpenRouter catalog
42
GPT-5.2 ↗OpenAI · high · 2025-12-11
69.856.4—74.6—$45.5400K$1.75 / $14OpenRouter catalog
43
Claude Sonnet 4.6 ↗Anthropic · medium · adaptive thinking
69.454.8—73.0—$601.00M$3 / $15Direct API
44
Inkling ↗Thinking Machines · xhighOpen weights
68.964.3—71.9—$18.1524K$1 / $4.05OpenRouter catalog
45
GLM-5.2 ↗Z.ai · source defaultOpen weights
68.567.1—73.2—$14.41.05M$0.04 / $7OpenRouter catalog
46
GPT-5.4 nano ↗OpenAI · xhigh
67.773.3—69.6—$4.5400K$0.2 / $1.25Direct API
47
GPT-6 Luna ↗OpenAI · max
67.775.5—72.0—$21.05M$0.1 / $0.5Direct API
48
GLM-5.3 Flash ↗Z.ai · source defaultOpen weights
67.274.5—71.6—$2.51.05M$0.15 / $0.5OpenRouter catalog
49
DeepSeek V4 Pro ↗DeepSeek · source defaultOpen weights
67.167.1—71.6—$13.371.05M$0.9553 / $1.91OpenRouter catalog
50
Kimi K2.6 ↗Moonshot AI · thinkingOpen weights
66.967.5—70.5—$13.32262K$0.65 / $3.41OpenRouter catalog
51
Claude Opus 4.5 ↗Anthropic · high · 64K thinking
66.749.8—72.6—$100200K$5 / $25Direct API
52
Claude Haiku 5.5 ↗Anthropic · max
66.074.4—67.9—$21.00M$0.1 / $0.5Direct API
53
Kimi K2.7 Code ↗Moonshot AI · source defaultOpen weights
64.865.0—68.4—$13.41262K$0.6712 / $3.35OpenRouter catalog
54
Qwen3.6 Plus ↗Alibaba · source default
63.969.0—68.9—$7.151.00M$0.325 / $1.95OpenRouter catalog
55
Nemotron 3 Ultra ↗NVIDIA · 550B A55B · source defaultOpen weights
63.866.4—67.4—$10.8262K$0.6 / $2.4OpenRouter catalog
56
MiniMax M3 ↗MiniMax · source default
63.169.5—67.3—$5.41.05M$0.3 / $1.2OpenRouter catalog
57
GPT-5.4 mini ↗OpenAI · xhigh
62.560.8—66.4—$16.5400K$0.75 / $4.5Direct API
58
DeepSeek V4 Flash ↗DeepSeek · source defaultOpen weights
61.673.1—65.5—$1.271.05M$0.091 / $0.182OpenRouter catalog
59
Qwen3.6 27B ↗Alibaba · source defaultOpen weights
60.065.3—64.0—$9.6262K$0.32 / $3.2OpenRouter catalog
59.565.5—63.9—$81.05M$0.3 / $2.5OpenRouter catalog
61
Grok 4.3 ↗xAI · source default
56.055.8—62.2—$17.51.00M$1.25 / $2.5OpenRouter catalog

— 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 ↗