API cost decision in 10 seconds

NewGrok Build 0.1 vs Qwen3 Max Thinking

Pick Grok Build 0.1 for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Grok Build 0.1 for lower cost; pick Qwen3 Max Thinking only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.73 for Qwen3 Max Thinking, saving $0.73 (26.7% lower).

Cost-first pickGrok Build 0.1
Context-first pickQwen3 Max Thinking
Sample savings$0.7326.7%
10x traffic gap$7.3

Qwen3 Max Thinking has more context, but Grok Build 0.1 saves $0.73 on the standard workload. At 10x that traffic, the same price gap is about $7.3. 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 Grok Build 0.1, and output-heavy chatbot favors Grok Build 0.1.

Workload shapeToken mixBetter pickGrok Build 0.1Qwen3 Max Thinking
Input-heavy / RAG5M input + 500K outputQwen3 Max Thinking$6$5.85
Balanced workload1M input + 1M outputGrok Build 0.1$3$4.68
Output-heavy chatbot1M input + 5M outputGrok Build 0.1$11$20.28
Cheaper input Qwen3 Max Thinking $1 vs $0.78 / 1M

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

Cheaper output Grok Build 0.1 $2 vs $3.9 / 1M

Grok Build 0.1 is $1.9 cheaper per 1M output tokens (48.7% lower; 1.95x difference).

Larger context Qwen3 Max Thinking 256K vs 262.14K

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

Sample workload Grok Build 0.1 $2 vs $2.73

Grok Build 0.1 is $0.73 cheaper on the standard workload (26.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Grok Build 0.1 Calculating… Estimated API cost
Qwen3 Max Thinking 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; Grok Build 0.1 has the lower output price; Qwen3 Max Thinking offers the larger context window. For the 1M input plus 500K output sample, Grok Build 0.1 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2 for Grok Build 0.1 and $2.73 for Qwen3 Max Thinking.

Best Fit

Choose Grok Build 0.1 when you care most about lower output-token price.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.73 for Qwen3 Max Thinking, saving $0.73 (26.7% lower).
  • Grok Build 0.1 is $0.73 cheaper on the standard workload (26.7% lower).
  • Qwen3 Max Thinking is $0.22 cheaper per 1M input tokens (22% lower; 1.28x difference).
  • Grok Build 0.1 is $1.9 cheaper per 1M output tokens (48.7% lower; 1.95x difference).
  • Qwen3 Max Thinking has 6.14K more context (1.02x larger).
Head-to-Head Specs
FeatureNewGrok Build 0.1
(xAI)
Qwen3 Max Thinking
(Qwen)
Input Price
prompt tokens per 1M
$1$0.78
Completion Price
per 1M tokens
$2$3.9
Sample Workload Cost
1M input + 500K output
$2$2.73
Context Window256K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGrok Build 0.1On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.73 for Qwen3 Max Thinking, saving $0.73 (26.7% lower).
High-volume input processingQwen3 Max ThinkingLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGrok Build 0.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 Max ThinkingA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
Popular competitors
  • No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

xAI catalog

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

Open xAI models

Qwen catalog

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

Open Qwen models
Grok Build 0.1

Grok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...

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...