Cohere: Command R (08-2024) vs Qwen: Qwen3 VL 32B Instruct
Head-to-head API pricing and cost comparison between Cohere’s Cohere: Command R (08-2024) and Qwen’s Qwen: Qwen3 VL 32B Instruct. Prices auto-refresh daily from OpenRouter.
Qwen: Qwen3 VL 32B Instruct is 31% cheaper for input tokens; Qwen: Qwen3 VL 32B Instruct also wins on output tokens.
Side-by-side comparison
| Spec | Cohere: Command R (08-2024) | Qwen: Qwen3 VL 32B Instruct |
|---|---|---|
| Input price (per 1M) | $0.15 | $0.10 |
| Cached input (per 1M) | — | — |
| Output price (per 1M) | $0.60 | $0.42 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 128K | 131K |
| Vision support | No | Yes |
| Caching support | No | No |
| Batch API | No | No |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Cohere: Command R (08-2024) | Qwen: Qwen3 VL 32B Instruct | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $5.85 | $4.06 | $1.79 Qwen: Qwen3 VL 32B Instruct wins |
10K req/day 1500in / 500out tokens | $157.50 | $109.20 | $48.30 Qwen: Qwen3 VL 32B Instruct wins |
100K req/day 3000in / 800out tokens | $2,790 | $1,934 | $855.60 Qwen: Qwen3 VL 32B Instruct wins |
1M req/day 8000in / 2000out tokens | $72,000 | $49,920 | $22,080 Qwen: Qwen3 VL 32B Instruct wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Cohere: Command R (08-2024) or Qwen: Qwen3 VL 32B Instruct?
For input tokens, Qwen: Qwen3 VL 32B Instruct is roughly 31% cheaper at $0.10/1M vs $0.15/1M. 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?
Cohere: Command R (08-2024) has a context window of 128K 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 Cohere: Command R (08-2024) or Qwen: Qwen3 VL 32B Instruct?
Choose Cohere: Command R (08-2024) if you’re already on the Cohere 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.