# Claude Opus 4.8 vs Qwen3 235B A22B Instruct 2507 FP8 Throughput

On provider list prices, Qwen3 235B A22B Instruct 2507 FP8 Throughput costs $0.20 per million input tokens against $5 for Claude Opus 4.8: 25.0x apart. Output is $0.60 against $25 (41.7x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Claude Opus 4.8 | Qwen3 235B A22B Instruct 2507 FP8 Throughput |
| --- | --- | --- |
| Lab | Anthropic | Qwen |
| Access | API only | Open weights |
| Context window | 200K tokens | 256K tokens |
| List price, input | $5 / M tokens | $0.20 / M tokens |
| List price, output | $25 / M tokens | $0.60 / M tokens |
| Cached input | n/a | n/a |
| License | Proprietary API | Apache 2.0 |
| Fine-tunable | No | Yes |

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 $14,750 on Claude Opus 4.8 at list: a gap of $14,300, or 32.8x.

Qwen3 235B A22B Instruct 2507 FP8 Throughput reads 256K tokens per request against 200K for Claude Opus 4.8, 1.3x the window. That decides which one can take whole documents without splitting them.

## Choose Claude Opus 4.8 for

- Hardest reasoning problems
- High-stakes analysis
- Escalation tier for agents

## Choose Qwen3 235B A22B Instruct 2507 FP8 Throughput for

- The lower list price ($0.20 in / $0.60 out per M tokens)
- The longer context window (256K vs 200K tokens)
- Open weights you can fine-tune and own

## Common questions

### Which is cheaper, Claude Opus 4.8 or Qwen3 235B A22B Instruct 2507 FP8 Throughput?

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 $5/$25 for Claude Opus 4.8. Billed on Allocate: $0.21/$0.64 against $5.35/$26.75, list plus 7%.

### Which has the bigger context window?

Qwen3 235B A22B Instruct 2507 FP8 Throughput: 262,144 tokens (256K) against 200,000 (200K) for Claude Opus 4.8.

### Can I fine-tune Claude Opus 4.8 or Qwen3 235B A22B Instruct 2507 FP8 Throughput?

Qwen3 235B A22B Instruct 2507 FP8 Throughput publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Claude Opus 4.8 is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/opus-4-8-vs-qwen-qwen3-235b-a22b-instruct-2507-tput) · [Claude Opus 4.8](https://allocate.network/models/opus-4-8.md) · [Qwen3 235B A22B Instruct 2507 FP8 Throughput](https://allocate.network/models/qwen-qwen3-235b-a22b-instruct-2507-tput.md) · [Machine-readable catalog](https://allocate.network/catalog.json)