AI Models · Paid vs Paid

Claude Sonnet 5 Paid vs RERelace Search Paid

Claude Sonnet 5 vs Relace Search compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Claude Sonnet 5PaidAnthropic
$2 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
RERelace SearchPaidRelace
$1 /M input
$3 /M outputManaged API (no infra to run)
TypeProprietary
Context window256K tokens
MultimodalNo
Self-hostNo
Choose Relace Search for the lower output price ($3/M vs $10/M). Choose Claude Sonnet 5 if you need the larger 1M context window.

Claude Sonnet 5 vs Relace Search specs

SpecClaude Sonnet 5Relace SearchWinner
MakerAnthropicRelace
TypeProprietaryProprietary
Context window1M tokens256K tokensClaude Sonnet 5
Input price$2/M$1/MRERelace Search
Output price$10/M$3/MRERelace Search
Vision / multimodalYesNoClaude Sonnet 5
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

3.3×cheaper per output token

Relace Search is ~3.3× cheaper than Claude Sonnet 5 on output tokens ($3 vs $10 per M tokens).

Choose Claude Sonnet 5 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
REChoose Relace Search if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityClaude Sonnet 5Relace Search
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Claude Sonnet 5 vs Relace Search

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Claude Sonnet 5
Relace Search
Intelligence index
38.4
Coding index
71.5
GPQA
91.1%
Humanity's Last Exam
41.3%
Long Context Reasoning
82%
SciCode
54.3%
τ-Bench Banking
37.3%
Terminal-Bench
80.5%
Speed
83.2 tok/s
Latency
114.22s
Intelligence per $
9.6

Benchmark data by Artificial Analysis.

How Claude Sonnet 5 and Relace Search score

🏆 Best value & openness: Claude Sonnet 5 (3.2 vs 2.8 / 5)
CriterionClaude Sonnet 5Relace Search
Cost-efficiency3.54.0
Context window5.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.03.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Claude Sonnet 5 Paid

Anthropic · Proprietary

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

Relace Search Paid

Relace · Proprietary

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Claude Sonnet 5 (batch)Claude Sonnet 4.6Claude Sonnet 4.6 (batch)Claude Sonnet 4.5Claude Sonnet 4.5 (batch)Claude Sonnet 4

Frequently asked questions

Claude Sonnet 5 vs Relace Search — which is cheaper?

Relace Search is cheaper on output ($3/M vs $10/M).

Which has the larger context window?

Claude Sonnet 5 offers the larger context window (1M tokens).

Claude Sonnet 5 vs Relace Search — which should I pick in 2026?

Choose Relace Search for the lower output price ($3/M vs $10/M). Choose Claude Sonnet 5 if you need the larger 1M context window.

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