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THE MODEL SELECTION SERIES

Best models for coding

Writing a function and fixing a repository are different jobs. Our Coding assistant profile gives 45% weight to LiveBench agentic coding, 30% to coding tasks, 15% to reasoning and 10% to instruction following.

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

01 / WHAT TO CHECK

Look at the two coding columns separately

Coding measures contained code generation and completion. Agentic coding measures performance in a tool-using workflow across JavaScript, TypeScript and Python. A model that excels at the first may need better tools and instructions or more attempts for the second.

02 / WHAT TO CHECK

Use the same development tools for every model

Repository search, patch application, terminal access and the test loop change results. Use the same testing setup for every candidate, and record the model version and reasoning setting. Our tables preserve the source’s tested configuration.

03 / WHAT TO CHECK

Budget for the whole edit cycle

Add the codebase context sent on each turn and all billed output across planning, edits and tests. Cached context can reduce costs, but cache policies differ. The calculator intentionally shows an uncached baseline so its assumptions are visible.

04 / WHAT TO CHECK

Check what the benchmark does not cover

Run your own tests for framework knowledge, unfamiliar dependencies, migrations, security-sensitive code and multi-file changes. Benchmarks support a shortlist; your regression suite decides whether a change is acceptable.

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
78.8Agent Fit$1.94your workload
YOUR FAST SHORTLIST

Closest to the sweet spot

How we choose ↗
  1. 1
    DeepSeek V4.1 Flash ↗78.8 Agent Fit · $1.94
  2. 2
    DeepSeek V4 Flash 0731 ↗63.1 Agent Fit · $1.44
  3. 3
    DeepSeek V4 Flash ↗54.6 Agent Fit · $1.27

Shaded zone: 70.0+ 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 Opus 5.5 ↗

Anthropic · max

Agent Fit 79.4
Value 60.8
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
02
Agent Fit 78.8
Value 84.1
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
03
Claude Fable 5.1 ↗

Anthropic · max

Agent Fit 76.7
Value 54.2
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
04
Claude Fable 5 ↗

Anthropic · source ID max; display xhigh

Agent Fit 74.8
Value 52.9
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
Muse Spark 1.3 ↗

Meta · xhigh

Agent Fit 74.4
Value 67.1
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
06
Claude Opus 5 ↗

Anthropic · max

Agent Fit 73.8
Value 54.8
Your cost $100
1.00M contextTool calling
Benchmarks & API pricing +
LiveBench
80.1
Evidence Consensus
61.1
Input / output per 1M tokens
$5 / $25
Price observation
Direct API
07
Muse Wonder ↗

Meta · max · version 1.0

Agent Fit 73.3
Value 56.5
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
Kimi K3 ↗

Moonshot AI · source default

Agent Fit 73.1
Value 62.6
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
09
Claude Sonnet 5.5 ↗

Anthropic · max

Agent Fit 72.2
Value 60.6
Your cost $40
1.00M contextTool calling
Benchmarks & API pricing +
LiveBench
75.7
Evidence Consensus
Not enough evidence
Input / output per 1M tokens
$2 / $10
Price observation
Direct API
10
Qwen3.8 Max ↗

Alibaba · source default · version mapping unconfirmed

Agent Fit 71.6
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
11
GPT-5.6 Sol ↗

OpenAI · source ID max; display xhigh

Agent Fit 71.4
Value 55.2
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
12
GPT-6 Astra ↗

OpenAI · max

Agent Fit 71.4
Value 50.5
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
AI model benchmarks, aggregate ratings, API pricing and context windows. Snapshot 2026-10-15.
CompareInput / outputUSD / 1M tokens
01
Claude Opus 5.5 ↗Anthropic · max
79.460.8—83.2—$801.00M$4 / $20Direct API
02
DeepSeek V4.1 Flash ↗DeepSeek · maxOpen weights
78.884.1—81.1—$1.941.05M$0.0158 / $0.891OpenRouter catalog
03
Claude Fable 5.1 ↗Anthropic · max
76.754.294.42 sources83.41,501±6$2001.00M$10 / $50Direct API
04
Claude Fable 5 ↗Anthropic · source ID max; display xhighSource labels disagree
74.852.9—83.0—$2001.00M$10 / $50Direct API
05
Muse Spark 1.3 ↗Meta · xhigh
74.467.1—81.6—$211.05M$1.25 / $4.25OpenRouter catalog
06
Claude Opus 5 ↗Anthropic · max
73.854.861.12 sources80.11,489±5$1001.00M$5 / $25Direct API
07
Muse Wonder ↗Meta · max · version 1.0
73.356.5—81.2—$801.05M$4 / $20OpenRouter catalog
08
Kimi K3 ↗Moonshot AI · source defaultOpen weights
73.162.6—79.2—$351.05M$0.5 / $15OpenRouter catalog
09
Claude Sonnet 5.5 ↗Anthropic · max
72.260.6—75.7—$401.00M$2 / $10Direct API
10
Qwen3.8 Max ↗Alibaba · source default · version mapping unconfirmed
71.6——78.5——Not verifiedNot verified
11
GPT-5.6 Sol ↗OpenAI · source ID max; display xhighSource labels disagree
71.455.2—81.1—$801.05M$4 / $20Direct API
12
GPT-6 Astra ↗OpenAI · max
71.450.544.42 sources82.21,475±7$2001.05M$10 / $50Direct API
13
Gemini 3.7 Flash ↗Google · high
71.167.850.02 sources78.81,486±5 · preliminary$151.05M$0.75 / $3.75OpenRouter catalog
14
GLM-5.3 ↗Z.ai · source defaultOpen weights
70.971.9—76.1—$10.61.05M$0.1 / $4.8OpenRouter catalog
15
Claude Sonnet 5 ↗Anthropic · xhigh
70.659.5—76.0—$401.00M$2 / $10Direct API
16
Qwen3.8 Flash Next ↗Alibaba · source defaultOpen weights
70.3——76.2——Not verifiedNot verified
17
Muse Spark 1.2 ↗Meta · xhigh
70.164.155.62 sources78.01,492±8$211.05M$1.25 / $4.25OpenRouter catalog
18
GPT-6.1 Sol ↗OpenAI · max
70.059.155.62 sources81.61,484±9$401.05M$2 / $10Direct API
19
DeepSeek V4 Flash Vision Exp ↗DeepSeek · experimental · source defaultOpen weightsPreview
69.775.7—76.8—$3.451.05M$0.2156 / $0.6468OpenRouter catalog
20
Muse Spark 1.1 ↗Meta · source ID xhigh; display highSource labels disagree
69.663.7—75.3—$211.05M$1.25 / $4.25OpenRouter catalog
21
Qwen3.8 27B ↗Alibaba · source defaultOpen weights
69.673.5—75.3—$6.81.00M$0.24 / $2.2OpenRouter catalog
22
GPT-5.5 ↗OpenAI · xhigh
69.550.2—80.2—$1101.05M$5 / $30Direct API
23
Grok 4.6 ↗xAI · source default
69.561.5—78.0—$32500K$2 / $6OpenRouter catalog
24
GPT-6 Sol ↗OpenAI · max
68.558.0—79.2—$401.05M$2 / $10Direct API
25
GPT-5.6 Terra ↗OpenAI · source ID max; display xhighSource labels disagree
68.356.3—77.9—$441.05M$2 / $12Direct API
26
Mistral Large 4 ↗Mistral · highPreview
67.968.8—71.8—$10.981.05M$0.68 / $2.09OpenRouter catalog
27
Claude Opus 4.8 ↗Anthropic · max
67.950.6—76.2—$1001.00M$5 / $25Direct API
28
GPT-5.4 ↗OpenAI · xhigh
67.754.1—78.0—$551.05M$2.5 / $15Direct API
29
Gemini 3.8 Flash ↗Google · high
67.765.555.62 sources75.81,497±5 · preliminary$151.05M$0.75 / $3.75OpenRouter catalog
30
DeepSeek V4 Pro 0813 ↗DeepSeek · source defaultOpen weights
67.570.0—77.4—$10.561.05M$0.66 / $1.98OpenRouter catalog
31
Grok 4.7 ↗xAI · xhigh
67.460.1—77.4—$32500K$2 / $6OpenRouter catalog
32
Claude Haiku 5.5 ↗Anthropic · max
67.275.3—67.9—$21.00M$0.1 / $0.5Direct API
33
Claude Opus 4.7 ↗Anthropic · xhigh
67.250.1—76.5—$1001.00M$5 / $25Direct API
34
Grok 4.5 ↗xAI · source default
66.259.3—75.8—$32500K$2 / $6OpenRouter catalog
35
GLM-5.3 Flash ↗Z.ai · source defaultOpen weights
66.273.7—71.6—$2.51.05M$0.15 / $0.5OpenRouter catalog
36
GPT-5.2 Codex ↗OpenAI · source default
65.653.4—74.0—$45.5400K$1.75 / $14OpenRouter catalog
37
GPT-5.6 Luna ↗OpenAI · source ID max; display xhighSource labels disagree
65.572.2—73.6—$4.41.05M$0.2 / $1.2Direct API
38
Gemini 3.5 Flash ↗Google · high
65.457.616.72 sources74.61,478±4$331.05M$1.5 / $9OpenRouter catalog
39
GLM-5.2 ↗Z.ai · source defaultOpen weights
65.264.8—73.2—$14.41.05M$0.04 / $7OpenRouter catalog
40
Claude Opus 4.6 ↗Anthropic · high · adaptive thinking
65.148.755.62 sources74.51,504±3$1001.00M$5 / $25Direct API
41
GPT-6 Luna ↗OpenAI · max
64.673.4—72.0—$21.05M$0.1 / $0.5Direct API
42
GPT-5.2 ↗OpenAI · high · 2025-12-11
64.152.4—74.6—$45.5400K$1.75 / $14OpenRouter catalog
43
Gemini 3.1 Pro Preview ↗Google · highPreview
63.352.9—77.0—$441.05M$2 / $12OpenRouter catalog
44
Gemini 3.6 Flash ↗Google · high
63.262.411.12 sources73.61,482±4$151.05M$0.75 / $3.75OpenRouter catalog
45
DeepSeek V4 Flash 0731 ↗DeepSeek · source defaultOpen weights
63.173.6—74.2—$1.441.05M$0.016 / $0.64OpenRouter catalog
46
Kimi K2.6 ↗Moonshot AI · thinkingOpen weights
63.064.8—70.5—$13.32262K$0.65 / $3.41OpenRouter catalog
47
Inkling ↗Thinking Machines · xhighOpen weights
62.359.6—71.9—$18.1524K$1 / $4.05OpenRouter catalog
48
Claude Sonnet 4.6 ↗Anthropic · medium · adaptive thinking
62.049.6—73.0—$601.00M$3 / $15Direct API
49
Qwen3.7 Max ↗Alibaba · source default
61.857.2—73.1—$23.61.00M$1.48 / $4.43OpenRouter catalog
50
GPT-5.4 nano ↗OpenAI · xhigh
61.268.7—69.6—$4.5400K$0.2 / $1.25Direct API
51
Kimi K2.7 Code ↗Moonshot AI · source defaultOpen weights
60.862.2—68.4—$13.41262K$0.6712 / $3.35OpenRouter catalog
52
Claude Opus 4.5 ↗Anthropic · high · 64K thinking
60.045.1—72.6—$100200K$5 / $25Direct API
53
Qwen3.6 Plus ↗Alibaba · source default
59.365.8—68.9—$7.151.00M$0.325 / $1.95OpenRouter catalog
58.965.0—63.9—$81.05M$0.3 / $2.5OpenRouter catalog
55
DeepSeek V4 Pro ↗DeepSeek · source defaultOpen weights
58.861.3—71.6—$13.371.05M$0.9553 / $1.91OpenRouter catalog
56
Nemotron 3 Ultra ↗NVIDIA · 550B A55B · source defaultOpen weights
57.261.8—67.4—$10.8262K$0.6 / $2.4OpenRouter catalog
57
GPT-5.4 mini ↗OpenAI · xhigh
56.956.9—66.4—$16.5400K$0.75 / $4.5Direct API
58
MiniMax M3 ↗MiniMax · source default
55.764.3—67.3—$5.41.05M$0.3 / $1.2OpenRouter catalog
59
Qwen3.6 27B ↗Alibaba · source defaultOpen weights
55.161.8—64.0—$9.6262K$0.32 / $3.2OpenRouter catalog
60
DeepSeek V4 Flash ↗DeepSeek · source defaultOpen weights
54.668.2—65.5—$1.271.05M$0.091 / $0.182OpenRouter catalog
61
Grok 4.3 ↗xAI · source default
46.248.9—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 Fit79.468.578.8
Practical Value60.858.084.1
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 ↗