# Qwen3 235B A22B Instruct 2507 FP8 Throughput vs Qwen3.7 Max

On provider list prices, Qwen3 235B A22B Instruct 2507 FP8 Throughput costs $0.20 per million input tokens against $1.25 for Qwen3.7 Max: 6.3x apart. Output is $0.60 against $3.75 (6.3x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Qwen3 235B A22B Instruct 2507 FP8 Throughput | Qwen3.7 Max |
| --- | --- | --- |
| Lab | Qwen | Qwen |
| Access | Open weights | API only |
| Context window | 256K tokens | 1M tokens |
| List price, input | $0.20 / M tokens | $1.25 / M tokens |
| List price, output | $0.60 / M tokens | $3.75 / M tokens |
| Cached input | n/a | $0.13 / M tokens |
| License | Apache 2.0 | Proprietary API |
| Fine-tunable | Yes | No |

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 $2,813 on Qwen3.7 Max at list: a gap of $2,363, or 6.3x.

Qwen3.7 Max 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.

## 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)

## Choose Qwen3.7 Max for

- The longer context window (1M vs 256K tokens)
- Published cached-input pricing ($0.13 per M tokens)

## Common questions

### Which is cheaper, Qwen3 235B A22B Instruct 2507 FP8 Throughput or Qwen3.7 Max?

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 $1.25/$3.75 for Qwen3.7 Max. Billed on Allocate: $0.21/$0.64 against $1.34/$4.01, list plus 7%.

### Which has the bigger context window?

Qwen3.7 Max: 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 Qwen3.7 Max?

Qwen3 235B A22B Instruct 2507 FP8 Throughput publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Qwen3.7 Max is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/qwen-qwen3-235b-a22b-instruct-2507-tput-vs-qwen-qwen3-7-max) · [Qwen3 235B A22B Instruct 2507 FP8 Throughput](https://allocate.network/models/qwen-qwen3-235b-a22b-instruct-2507-tput.md) · [Qwen3.7 Max](https://allocate.network/models/qwen-qwen3-7-max.md) · [Machine-readable catalog](https://allocate.network/catalog.json)