API cost decision in 10 seconds

🔥Claude Opus 4.6 vs Qwen3 235B A22B Thinking 2507

Pick Qwen3 235B A22B Thinking 2507 for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 235B A22B Thinking 2507 for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $17.5 for Claude Opus 4.6, saving $16.6 (94.9% lower).

Cost-first pickQwen3 235B A22B Thinking 2507
Context-first pickClaude Opus 4.6
Sample savings$16.694.9%
10x traffic gap$166.03

Claude Opus 4.6 has more context, but Qwen3 235B A22B Thinking 2507 saves $16.6 on the standard workload. At 10x that traffic, the same price gap is about $166.03. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 235B A22B Thinking 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickClaude Opus 4.6Qwen3 235B A22B Thinking 2507
Input-heavy / RAG5M input + 500K outputQwen3 235B A22B Thinking 2507$37.5$1.5
Balanced workload1M input + 1M outputQwen3 235B A22B Thinking 2507$30$1.64
Output-heavy chatbot1M input + 5M outputQwen3 235B A22B Thinking 2507$130$7.62
Cheaper input Qwen3 235B A22B Thinking 2507 $5 vs $0.1495 / 1M

Qwen3 235B A22B Thinking 2507 is $4.85 cheaper per 1M input tokens (97% lower; 33.4x difference).

Cheaper output Qwen3 235B A22B Thinking 2507 $25 vs $1.495 / 1M

Qwen3 235B A22B Thinking 2507 is $23.5 cheaper per 1M output tokens (94% lower; 16.7x difference).

Larger context Claude Opus 4.6 1M vs 262.14K

Claude Opus 4.6 has 737.86K more context (3.81x larger).

Sample workload Qwen3 235B A22B Thinking 2507 $17.5 vs $0.9

Qwen3 235B A22B Thinking 2507 is $16.6 cheaper on the standard workload (94.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Claude Opus 4.6 Calculating… Estimated API cost
Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507 has the lower input price; Qwen3 235B A22B Thinking 2507 has the lower output price; Claude Opus 4.6 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B Thinking 2507 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $17.5 for Claude Opus 4.6 and $0.9 for Qwen3 235B A22B Thinking 2507.

Best Fit

Choose Claude Opus 4.6 when you care most about larger context window.

Choose Qwen3 235B A22B Thinking 2507 when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $17.5 for Claude Opus 4.6, saving $16.6 (94.9% lower).
  • Qwen3 235B A22B Thinking 2507 is $16.6 cheaper on the standard workload (94.9% lower).
  • Qwen3 235B A22B Thinking 2507 is $4.85 cheaper per 1M input tokens (97% lower; 33.4x difference).
  • Qwen3 235B A22B Thinking 2507 is $23.5 cheaper per 1M output tokens (94% lower; 16.7x difference).
  • Claude Opus 4.6 has 737.86K more context (3.81x larger).
Head-to-Head Specs
Feature🔥Claude Opus 4.6
(Anthropic)
Qwen3 235B A22B Thinking 2507
(Qwen)
Input Price
prompt tokens per 1M
$5$0.1495
Completion Price
per 1M tokens
$25$1.495
Sample Workload Cost
1M input + 500K output
$17.5$0.9
Context Window1M262.14K
Release Date
Popularity#18#133

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 235B A22B Thinking 2507On the standard 1M input plus 500K output workload, Qwen3 235B A22B Thinking 2507 is estimated at $0.9 vs $17.5 for Claude Opus 4.6, saving $16.6 (94.9% lower).
High-volume input processingQwen3 235B A22B Thinking 2507Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 235B A22B Thinking 2507Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workClaude Opus 4.6A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Claude 3 Haiku can replace Claude Opus 4.6 when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.6 when lower sample workload cost matters most: $2.8.
  • Anthropic Claude Haiku Latest can replace Claude Opus 4.6 when lower sample workload cost matters most: $3.5.
  • Claude Haiku 4.5 can replace Claude Opus 4.6 when lower sample workload cost matters most: $3.5.
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.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

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.

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Anthropic catalog

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

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Qwen catalog

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

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Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...