MegaBrain Leaderboard

Best AI Models
in MegaBrain

Compare live model rankings by real coding performance. See which models developers choose for planning, debugging, review, and agentic work across 453+ hosted options.

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MegaBrain Bench

Cost vs completion rate across the most capable coding models · TerminalBench 2.0

GPT-5.5

openai

OpenAI's most capable model for complex reasoning, planning, and agentic coding.

Terminal Bench 2.074.2%

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Claude Opus 4.7

anthropic

Anthropic's flagship — unmatched on deep architectural work and long-horizon tasks.

Terminal Bench 2.070.1%

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Claude Opus 4.8

anthropic

Latest Opus generation — stronger reasoning and more reliable tool use.

Terminal Bench 2.067.6%

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Gemini 3.5 Flash

google

Google's fastest frontier model — 1M context, strong at multi-file refactors.

Terminal Bench 2.064.7%

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MegaBrain Bench — Top 10 Most Capable Models

#	Model	Provider	Terminal Bench	Cost/attempt	Input $/M
1	OPGPT-5.5	openai	74.2%	$72.63	$15
2	ANClaude Opus 4.7	anthropic	70.1%	$100.51	$15
3	ANClaude Opus 4.8	anthropic	67.6%	$85.19	$15
4	GOGemini 3.5 Flash	google	64.7%	$104.49	$0.15
5	ANClaude Sonnet 4.6	anthropic	55.1%	$53.37	$3
6	MOKimi K2.6	moonshot	54.4%	$24.84	$0.15
7	X-Grok Build 0.1	x-ai	50.6%	$30.70	$3
8	ZHGLM 5.1	zhipu	49.4%	$23.98	$0.5
9	MIMiMo-V2.5-Pro	mimo	47.6%	$4.92	$0.2
10	MIMiniMax M3	minimax	47.6%	$10.35	$0.4

From our researchFrontier Performance at Lower Cost: Introducing Auto Balanced

Top Models by Mode

Code

1OPGPT-5.5

2ANClaude Opus 4.8

3ANClaude Opus 4.7

4GOGemini 3.5 Flash

5ANClaude Sonnet 4.6

6MOKimi K2.6

7X-Grok Build 0.1

8DEDeepSeek R1

9QWQwen3 235B

10MELlama 4 Maverick

Plan

1ANClaude Opus 4.7

2OPGPT-5.5

3ANClaude Opus 4.8

4DEDeepSeek R1

5ANClaude Sonnet 4.6

6GOGemini 3.5 Flash

7QWQwen3 235B

8MOKimi K2.6

9MELlama 4 Maverick

10ZHGLM 5.1

Debug

1ANClaude Sonnet 4.6

2OPGPT-5.5

3ANClaude Opus 4.8

4GOGemini 3.5 Flash

5ANClaude Opus 4.7

6X-Grok Build 0.1

7DEDeepSeek R1

8MIMiMo-V2.5-Pro

9ZHGLM 5.1

10GOGemini 2.5 Flash

Ask

1OPGPT-5.5

2ANClaude Sonnet 4.6

3GOGemini 3.5 Flash

4ANClaude Opus 4.7

5MOKimi K2.6

6GOGemini 2.5 Flash

7ANClaude Haiku 4.5

8MELlama 4 Maverick

9MIMiniMax M3

10QWQwen3 235B

Review

1ANClaude Opus 4.7

2OPGPT-5.5

3ANClaude Opus 4.8

4DEDeepSeek R1

5ANClaude Sonnet 4.6

6GOGemini 3.5 Flash

7X-Grok Build 0.1

8QWQwen3 235B

9MOKimi K2.6

10ZHGLM 5.1

Orchestrator

1ANClaude Opus 4.8

2OPGPT-5.5

3ANClaude Opus 4.7

4ANClaude Sonnet 4.6

5GOGemini 3.5 Flash

6DEDeepSeek R1

7MOKimi K2.6

8X-Grok Build 0.1

9MELlama 4 Maverick

10MIMiMo-V2.5-Pro

Methodology

Models earn their rank from the developers using them, not from a spec sheet. Synthetic benchmarks measure one capability at one moment. This leaderboard measures what developers come back to: real coding work, long planning sessions, debugging, review, and agentic tasks across 500+ models.

Benchmark

TerminalBench 2.0

Modes

Code, Plan, Ask, Debug, Review

Catalog

500+ models

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Start with usage

Rankings reflect real token usage by MegaBrain developers, not synthetic benchmarks.

Filter by mode

Use Top Models by Mode to see which models lead in Code, Plan, Debug, Ask, and Orchestrator.

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Each model links to a dedicated page with benchmark scores, pricing, context length, and speed data.

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AI model FAQ

How is MegaBrain Bench different from other benchmarks?

Most leaderboards score models on synthetic prompts. MegaBrain Bench uses TerminalBench 2.0 — a coding evaluation built around real software engineering tasks: completing functions, fixing bugs, adding tests, refactoring. The score reflects what the model can actually do in an agentic coding loop.

What does the Cost vs Performance chart show?

Each dot is a model. X-axis is TerminalBench 2.0 completion rate (higher = more capable). Y-axis is cost per attempt in dollars (log scale). Models in the bottom-right corner are the best value: high capability, low cost.

Are free models actually free?

Yes. Models marked free have $0 input and $0 output pricing. They are hosted by providers at no charge — typically to drive adoption of a new model family. Availability can change; MegaBrain Auto Free routes across free models and adapts when availability shifts.

How often is pricing updated?

Pricing data is pulled from OpenRouter every 5 minutes. Benchmark scores update when new TerminalBench results are published.

Can I use any of these models through MegaBrain today?

Yes. All 500+ models listed here are available through the MegaBrain Gateway at exact provider rates. Sign up, get an API key, and change one line of code.

What's the difference between Auto Frontier, Auto Balanced, and Auto Free?

Frontier routes every request to the most capable available model — for complex reasoning and architecture tasks. Balanced picks the best cost-effective model for your task type — the best default for daily development. Free rotates across the best free models — ideal for experimentation.

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MegaBrain Bench

Top Models by Mode

Methodology

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