API cost decision in 10 seconds

Qwen3 Max Thinking vs Relace Search

Pick Relace Search for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T13:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Relace Search for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Relace Search is estimated at $2.5 vs $2.73 for Qwen3 Max Thinking, saving $0.23 (8.4% lower).

Cost-first pickRelace Search

Context-first pickQwen3 Max Thinking

Sample savings$0.238.4%

10x traffic gap$2.3

Qwen3 Max Thinking has more context, but Relace Search saves $0.23 on the standard workload. At 10x that traffic, the same price gap is about $2.3. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 Max Thinking, balanced workload favors Relace Search, and output-heavy chatbot favors Relace Search.

Workload shape	Token mix	Better pick	Qwen3 Max Thinking	Relace Search
Input-heavy / RAG	5M input + 500K output	Qwen3 Max Thinking	$5.85	$6.5
Balanced workload	1M input + 1M output	Relace Search	$4.68	$4
Output-heavy chatbot	1M input + 5M output	Relace Search	$20.28	$16

Cheaper input Qwen3 Max Thinking $0.78 vs $1 / 1M

Qwen3 Max Thinking is $0.22 cheaper per 1M input tokens (22% lower; 1.28x difference).

Cheaper output Relace Search $3.9 vs $3 / 1M

Relace Search is $0.9 cheaper per 1M output tokens (23.1% lower; 1.3x difference).

Larger context Qwen3 Max Thinking 262.14K vs 256K

Qwen3 Max Thinking has 6.14K more context (1.02x larger).

Sample workload Relace Search $2.73 vs $2.5

Relace Search is $0.23 cheaper on the standard workload (8.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3 Max Thinking Calculating… Estimated API cost

Relace Search Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3 Max Thinking has the lower input price; Relace Search has the lower output price; Qwen3 Max Thinking offers the larger context window. For the 1M input plus 500K output sample, Relace Search is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.73 for Qwen3 Max Thinking and $2.5 for Relace Search.

Best Fit

Choose Qwen3 Max Thinking when you care most about lower input-token price, and larger context window.

Choose Relace Search when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Relace Search is estimated at $2.5 vs $2.73 for Qwen3 Max Thinking, saving $0.23 (8.4% lower).
Relace Search is $0.23 cheaper on the standard workload (8.4% lower).
Qwen3 Max Thinking is $0.22 cheaper per 1M input tokens (22% lower; 1.28x difference).
Relace Search is $0.9 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
Qwen3 Max Thinking has 6.14K more context (1.02x larger).

Head-to-Head Specs

Feature	Qwen3 Max Thinking (Qwen)	Relace Search (Relace)
Input Price prompt tokens per 1M	$0.78	$1
Completion Price per 1M tokens	$3.9	$3
Sample Workload Cost 1M input + 500K output	$2.73	$2.5
Context Window	262.14K	256K
Release Date	2026-02-09	2025-12-08

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Relace Search	On the standard 1M input plus 500K output workload, Relace Search is estimated at $2.5 vs $2.73 for Qwen3 Max Thinking, saving $0.23 (8.4% lower).
High-volume input processing	Qwen3 Max Thinking	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Relace Search	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 Max Thinking	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 Max Thinking when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Popular competitors

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Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models

Relace catalog

Check other Relace models with comparable pricing, context, or release timing.

Open Relace models

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...

Relace Search

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...