LeadsCalc
Start free
Interactive leaderboard

Best Coding LLMs 2026: AI Models for Software Engineering

Rank the best coding LLMs in 2026 using SWE-bench signals, HumanEval benchmarks, and live API pricing. Compare autonomous editing and repo-scale tasks for US, Canadian, and Australian engineering orgs.

Compare coding LLMs with benchmarks and real API pricing in 2026

The coding tab prioritizes models that perform on real software engineering tasks—not trivia—then layers estimated monthly API cost for the same workload. Engineering leads from San Francisco to Toronto to Sydney use it to pair a daily-driver model with a cheaper tier for bulk codegen, while keeping vendor options defensible for security and procurement reviews.

Est. monthlyROI scoreCodingReasoningSpeedMathContextOverallOpen-weight

Workload & pricing toggles

Workload presets

Same three scenarios as the main AI API calculator: moderate traffic, large RAG-style context, or per-request max tokens with a lower request count.

Include Vision / Image Processing

Off — no image fees in cost estimates for vision-capable models.

Turn On to include image fees.

OffOn

Use Cached Pricing

Enable to get 50% off input tokens where cached rates apply

OffOn

Deep Reasoning / Thinking Mode

Model hidden reasoning / extended thinking charged like output tokens when enabled.

OffOn

Batch Pricing

Enable for 50% off input & output where batch/async pricing applies

OffOn
≈ $100.00/mo
8K
1K—1.0M
≈ $100.00/mo
2K
100—500K
≈ $200.00 total
5K
10—100K

Cached / batch est. monthly values only change after the pipeline sets supports_caching or supports_batch in Supabase. The toggles here narrow the table to models whose catalog or provider typically supports those modes.

Magic quadrant (top 15)

X: est. monthly · Y: Coding · Dot: provider color · Hover for rank, model & details

Full leaderboard

Showing 48 of 327 models.

PickModelEst. monthlyROI scoreCodingReasoningSpeedMathContextOverall
Z.ai: GLM 5$44.8064
99
93
55
84
203K
92
Morph: Morph V3 Large$55.0056
98
78
85
65
262K
80
Google: Gemma 4 31B$9.0072
97
92
70
97
262K
94
OpenAI: gpt-oss-20b$2.6084
96
97
85
98
131K
97
Morph: Morph V3 Fast$44.0057
96
78
90
70
82K
80
Z.ai: GLM 4.7$32.6064
94
87
85
96
203K
91
Qwen: Qwen3 Coder Next$13.6062
93
73
65
85
262K
81
Claude Sonnet 4.6$270.0056
93
75
70
96
1.0M
85
Qwen: Qwen3 Max$70.2061
93
87
70
89
262K
89
Grok 3$270.0061
93
93
55
96
131K
94
Z.ai: GLM 5.1$77.0061
92
89
70
85
203K
89
Mistral: Mistral Small 3.2 24B$5.0069
92
83
85
69
128K
82
Mistral: Mistral Medium 3$36.0063
92
87
70
91
131K
89
OpenAI: GPT-5.5$500.0055
92
88
55
71
1.1M
85
OpenAI: GPT-5.1 Chat$150.0058
91
88
85
77
128K
86
AllenAI: Olmo 3 32B Think$11.0067
90
84
50
88
66K
87
DeepSeek: DeepSeek V4 Flash$8.4067
90
83
95
80
1.0M
84
Elephant
Free
78
90
83
70
88
262K
86
OpenAI: GPT-5 Mini$30.0058
90
78
85
74
400K
80
MoonshotAI: Kimi K2 0711$45.8060
90
87
60
80
131K
86
xAI: Grok 3 Mini Beta$17.0063
90
87
95
77
131K
85
Amazon: Nova Premier 1.0$225.0057
89
89
55
77
1.0M
86
Xiaomi: MiMo-V2.5$36.0057
89
75
85
75
1.0M
78
GLM 5 Turbo$88.0057
88
91
70
60
203K
83
Z.ai: GLM 5V Turbo$88.0058
88
83
70
80
203K
84
xAI: Grok 4.20$140.0057
88
87
55
76
2.0M
85
xAI: Grok 3 Mini$17.0063
88
86
92
76
131K
84
Mistral: Mistral Small Creative$7.0066
88
83
90
69
33K
81
Pareto Code Router
VARIABLE
74
88
73
85
80
200K
78
Meta: Llama 3.3 70B Instruct$7.2069
88
89
70
77
131K
86
Qwen: Qwen3 VL 32B Instruct$8.3269
88
88
65
87
131K
88
xAI: Grok 4 Fast$13.0063
88
83
85
76
2.0M
82
Mistral: Saba$14.0060
88
77
85
69
33K
78
Mistral: Mistral Small 4$12.0063
88
83
55
69
262K
81
ByteDance Seed: Seed 1.6 Flash$6.0066
87
76
85
77
262K
79
Mistral Large 2411$140.0056
87
85
70
72
131K
82
xAI: Grok 4$270.0055
87
80
70
87
256K
83
Mistral: Mistral Large 3 2512$35.0059
87
85
60
72
262K
82
OpenAI: GPT-5.4 Image 2$470.0053
86
87
70
65
272K
81
OpenAI: GPT-5.4$250.0052
86
79
55
64
1.1M
77
OpenAI: GPT-4.1$160.0055
86
87
55
65
1.0M
81
OpenAI: GPT-5$150.0054
86
78
55
76
400K
79
OpenAI: GPT-5.3 Chat$210.0053
85
86
70
61
128K
79
Qwen: Qwen3.5 397B A17B$39.0062
85
89
60
92
262K
89
ByteDance Seed: Seed-2.0-Mini$8.0060
85
66
85
70
262K
72
Upstage: Solar Pro 3$12.0066
85
89
65
80
128K
86
OpenAI: GPT-5.2$210.0057
85
89
65
78
400K
85
Relace: Relace Search$70.0052
85
73
95
65
256K
74

Need a shareable artifact?

Download a print-ready PDF from the leaderboard and workload above. No email step—lead capture is off.

Detailed analysis

PDF Breakdown

Receive a comprehensive native vector PDF of this leaderboard: your workload, filters, top rankings, and a table snapshot (sorted: Coding).

Instant setup
No CC required

By submitting, you agree to our Privacy Policy and Terms.

Agency accelerator

Whitelabel Coding Leaderboard
for your site

Embed the interactive coding view on your own domain — whitelabel branding, lead capture, and the same workload sliders your prospects already use on LeadsCalc.

1-Click CRM sync
Custom branding
Branded reports
Lead analytics

Free to start

$0/mo*
GET STARTED

NO CREDIT CARD REQUIRED

How it works

Methodology: How we rank Coding LLMs

Transparent, benchmark-driven rankings—same craft as our single-model deep dives.

Coding rank inputs: code benchmarks vs. list pricing

Our 2026 coding rankings normalize data from SWE-bench Verified, HumanEval, and related code benchmarks. We prioritize models that demonstrate autonomous multi-file editing, refactors, and complex logic under real API constraints—so engineering teams in the US, Canada, and Australia can compare developer throughput, not marketing claims.

Battle Arena

Compare up to four LLMs side by side

Tick up to four models in the leaderboard table, then open Battle Arena for API pricing, benchmarks, and workload math in one view—perfect when you are shortlisting vendors for a pilot in the US, Canada, or Australia.

Prefer a head start? Jump into high-intent comparisons people search for every day—same interactive calculator, zero signup.

Open Battle ArenaUp to 4 models · Live estimates
Signals & spend

Value analysis

Benchmarks vs. estimated API cost—read the story your CFO cares about.

Choosing a coding model when API spend is capped

A high coding score does not automatically mean “affordable at scale.” Use the scatter plot to see who sits in the efficient frontier: strong coding axis, controlled monthly estimate. Agencies delivering fixed-fee builds in the US and Australia especially benefit from documenting this trade-off for clients; Canadian teams often add data-residency requirements before final selection.

Production deployment

Software Engineering & Autonomous Coding

How teams in the US, Canada, and Australia deploy these models in production.

IDE integrations, PR reviewers, and SWE-bench performance

Top-tier coding models are increasingly deployed as autonomous agents that can navigate entire repositories, review pull requests, and generate complex test suites. Engineering organizations in the US and Canada use this leaderboard to select models for custom VS Code extensions, automated CI/CD code review pipelines, and legacy codebase migrations where zero-data retention policies are mandatory.

Architecture

Optimizing Developer Tooling Costs

Strategies to reduce monthly API spend without sacrificing capability.

Context pruning and batching CI/CD reviews

Feeding entire codebases into an LLM context window is prohibitively expensive. Teams optimize costs by using AST-based context pruning, embedding-based code retrieval (RAG for code), and shifting non-blocking tasks like nightly code audits to 50% discounted Batch APIs. Evaluate the context window and batch eligibility columns here to plan your developer tooling architecture.

Embed-ready

Need this live Coding data on your website?

Join 500+ agencies in the US and Australia using LeadsCalc to capture high-intent leads. Embed this interactive Coding leaderboard on your site in about a minute—Canadian teams use the same flows for CAD-priced proposals and compliance-friendly landing pages.

Customize & Embed this ToolWhite-label · No code required
United StatesCanadaAustralia
Live preview

Your visitors compare Coding models without leaving your domain.

Support & clarity

Frequently Asked Questions

Focused on teams in the United States, Canada, and Australia.

It depends on your workload tokens and whether you use batch or cached pricing. Use the workload sliders above to compare estimated monthly spend; teams in the US, Canada, and Australia often pair a fast “daily driver” model with a cheaper model for bulk codegen once they see blended costs here.