Live pricing — last refreshed Apr 21, 2026

Anthropic: Claude Opus 4.7 vs Qwen: Qwen3 VL 32B Instruct

Head-to-head API pricing and cost comparison between Anthropic’s Anthropic: Claude Opus 4.7 and Qwen’s Qwen: Qwen3 VL 32B Instruct. Prices auto-refresh daily from OpenRouter.

Verdict

Qwen: Qwen3 VL 32B Instruct is 98% cheaper for input tokens; Qwen: Qwen3 VL 32B Instruct also wins on output tokens.

Side-by-side comparison

SpecAnthropic: Claude Opus 4.7Qwen: Qwen3 VL 32B Instruct
Input price (per 1M)$5.00$0.10
Cached input (per 1M)$0.50
Output price (per 1M)$25.00$0.42
Batch input (per 1M)$2.50
Batch output (per 1M)$12.50
Reasoning price (per 1M)
Context window1000K131K
Vision supportYesYes
Caching supportYesNo
Batch APIYesNo
Reasoning capabilityNoNo

Monthly cost at volume

Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).

VolumeAnthropic: Claude Opus 4.7Qwen: Qwen3 VL 32B InstructSavings
1K req/day
500in / 200out tokens
$225.00$4.06$220.94
Qwen: Qwen3 VL 32B Instruct wins
10K req/day
1500in / 500out tokens
$6,000$109.20$5,891
Qwen: Qwen3 VL 32B Instruct wins
100K req/day
3000in / 800out tokens
$105,000$1,934$103,066
Qwen: Qwen3 VL 32B Instruct wins
1M req/day
8000in / 2000out tokens
$2,700,000$49,920$2,650,080
Qwen: Qwen3 VL 32B Instruct wins
Open in interactive calculator →

Adjust input/output token counts, request volume, batch & cached pricing.

Related comparisons

Frequently asked questions

Which is cheaper, Anthropic: Claude Opus 4.7 or Qwen: Qwen3 VL 32B Instruct?

For input tokens, Qwen: Qwen3 VL 32B Instruct is roughly 98% cheaper at $0.10/1M vs $5.00/1M. For output tokens, Qwen: Qwen3 VL 32B Instruct wins at $0.42/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.

What’s the context window difference?

Anthropic: Claude Opus 4.7 has a context window of 1000K tokens. Qwen: Qwen3 VL 32B Instruct offers 131K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.

Should I use Anthropic: Claude Opus 4.7 or Qwen: Qwen3 VL 32B Instruct?

Choose Anthropic: Claude Opus 4.7 if you’re already on the Anthropic stack, want broad ecosystem support, or prefer its feature set. Choose Qwen: Qwen3 VL 32B Instruct for Qwen’s ecosystem, native vision input, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.

How are these prices kept current?

Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Apr 21, 2026.