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I'm building a coding agent

Active Scenario Task Focus: Generation Priority: Performance/Cost

Claude Sonnet 4.5

Anthropic

confidence: medium

Evidence 71.40% SWE-bench

Caveat Good candidate; not universal winner

Why: Source-backed price and benchmark evidence are both visible; still requires workflow-specific cost estimate.

[API] [DOCS]

Gemini 3 Flash

Google DeepMind

confidence: low

Evidence SWE-bench 75.80% · price/context not disclosed

Caveat Pricing not disclosed

Why: Captured benchmark signal exists, but price/context remain not disclosed until exact model docs are mapped.

[BLOG]

DeepSeek V4 Flash

DeepSeek AI

75% Conf.

Evidence Not benchmarked

Caveat Exact coding benchmark not verified

Why: Source-backed low input price ($0.14/1M) can help high-volume automation, but exact coding benchmark evidence remains unverified.

[DOCS]

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Filter Applied: "Speed-first model" close

No exact public speed source verified for this filter yet.

Latency data requires manual vetting from provider status pages.

METHODOLOGY NOTE

Token price != task cost. Our engine calculates based on agentic loops, retry overheads, and context expansion. Unknown pricing fields are handled as $0.00 base with high-risk flags in the final estimate.