API cost decision in 10 seconds

Claude Opus 4.7 vs Qwen3.5-Flash

Pick Qwen3.5-Flash when budget is the priority.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3.5-Flash when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.5-Flash is estimated at $0.2 vs $17.5 for Claude Opus 4.7, saving $17.3 (98.9% lower).

Cost-first pickQwen3.5-Flash

Context-first pickBoth models

Sample savings$17.398.9%

10x traffic gap$173.05

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $173.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.5-Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Claude Opus 4.7	Qwen3.5-Flash
Input-heavy / RAG	5M input + 500K output	Qwen3.5-Flash	$37.5	$0.46
Balanced workload	1M input + 1M output	Qwen3.5-Flash	$30	$0.33
Output-heavy chatbot	1M input + 5M output	Qwen3.5-Flash	$130	$1.36

Cheaper input Qwen3.5-Flash $5 vs $0.065 / 1M

Qwen3.5-Flash is $4.93 cheaper per 1M input tokens (98.7% lower; 76.9x difference).

Cheaper output Qwen3.5-Flash $25 vs $0.26 / 1M

Qwen3.5-Flash is $24.74 cheaper per 1M output tokens (99% lower; 96.2x difference).

Larger context Tie 1M vs 1M

Both models report the same context window at 1M tokens.

Sample workload Qwen3.5-Flash $17.5 vs $0.2

Qwen3.5-Flash is $17.3 cheaper on the standard workload (98.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Claude Opus 4.7 Calculating… Estimated API cost

Qwen3.5-Flash 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

Qwen3.5-Flash has the lower input price; Qwen3.5-Flash has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.5-Flash 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 4.7 and $0.2 for Qwen3.5-Flash.

Best Fit

Choose Claude Opus 4.7 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3.5-Flash 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, Qwen3.5-Flash is estimated at $0.2 vs $17.5 for Claude Opus 4.7, saving $17.3 (98.9% lower).
Qwen3.5-Flash is $17.3 cheaper on the standard workload (98.9% lower).
Qwen3.5-Flash is $4.93 cheaper per 1M input tokens (98.7% lower; 76.9x difference).
Qwen3.5-Flash is $24.74 cheaper per 1M output tokens (99% lower; 96.2x difference).
Both models report the same context window at 1M tokens.

Head-to-Head Specs

Feature	Claude Opus 4.7 (Anthropic)	Qwen3.5-Flash (Qwen)
Input Price prompt tokens per 1M	$5	$0.065
Completion Price per 1M tokens	$25	$0.26
Sample Workload Cost 1M input + 500K output	$17.5	$0.2
Context Window	1M	1M
Release Date	2026-04-16	2026-02-25

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3.5-Flash	On the standard 1M input plus 500K output workload, Qwen3.5-Flash is estimated at $0.2 vs $17.5 for Claude Opus 4.7, saving $17.3 (98.9% lower).
High-volume input processing	Qwen3.5-Flash	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3.5-Flash	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A 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 4.7 when lower sample workload cost matters most: $0.88.
Claude 3.5 Haiku can replace Claude Opus 4.7 when lower sample workload cost matters most: $2.8.
Anthropic Claude Haiku Latest can replace Claude Opus 4.7 when lower sample workload cost matters most: $3.5.
Claude Haiku 4.5 can replace Claude Opus 4.7 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 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
OpenAI GPT Latest offers 1.05M context with $20 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

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

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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 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...