Comparisons

Qwen3 235B A22B Instruct 2507 FP8 Throughput vs Claude Sonnet 5

On provider list prices, Qwen3 235B A22B Instruct 2507 FP8 Throughput costs $0.20 per million input tokens against $3 for Claude Sonnet 5: 15.0x apart. Output is $0.60 against $15 (25.0x). On Allocate both bill at list plus the 7% transaction fee.

Qwen3 235B A22B Instruct 2507 FP8 Throughput Claude Sonnet 5
LabQwenAnthropic
AccessOpen weightsAPI only
Context window256K tokens1M tokens
List price, input$0.2 / M tokens$3 / M tokens
List price, output$0.6 / M tokens$15 / M tokens
Cached inputn/an/a
LicenseApache 2.0Proprietary API
Fine-tunableYesNo

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $450 a month on Qwen3 235B A22B Instruct 2507 FP8 Throughput and $8,850 on Claude Sonnet 5 at list: a gap of $8,400, or 19.7x.

Claude Sonnet 5 reads 1M tokens per request against 256K for Qwen3 235B A22B Instruct 2507 FP8 Throughput, 3.8x the window. That decides which one can take whole documents without splitting them.

Qwen3 235B A22B Instruct 2507 FP8 Throughput$0.20$0.60
Claude Sonnet 5$3$15
InputOutput

Choose Qwen3 235B A22B Instruct 2507 FP8 Throughput for

  • The lower list price ($0.20 in / $0.60 out per M tokens)
  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (Apache 2.0)
Qwen3 235B A22B Instruct 2507 FP8 Throughput details

Choose Claude Sonnet 5 for

  • Judgment calls with policy context
  • Customer-facing writing
  • Review and escalation flows
Claude Sonnet 5 details

Common questions

Which is cheaper, Qwen3 235B A22B Instruct 2507 FP8 Throughput or Claude Sonnet 5?

Qwen3 235B A22B Instruct 2507 FP8 Throughput, on this workload shape. At list prices it is $0.20/$0.60 per million tokens in and out against $3/$15 for Claude Sonnet 5. Billed on Allocate: $0.21/$0.64 against $3.21/$16.05, list plus 7%.

Which has the bigger context window?

Claude Sonnet 5: 1,000,000 tokens (1M) against 262,144 (256K) for Qwen3 235B A22B Instruct 2507 FP8 Throughput.

Can I fine-tune Qwen3 235B A22B Instruct 2507 FP8 Throughput or Claude Sonnet 5?

Qwen3 235B A22B Instruct 2507 FP8 Throughput publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Claude Sonnet 5 is a closed model served over API; its weights are not available.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.