# Deepseek Coder 33B Instruct vs Gemma-2 Instruct (27B)

On provider list prices, Deepseek Coder 33B Instruct costs $0.80 per million input tokens against $0.80 for Gemma-2 Instruct (27B): effectively level. Output is $0.80 against $0.80. On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Deepseek Coder 33B Instruct | Gemma-2 Instruct (27B) |
| --- | --- | --- |
| Lab | Deepseek | Google |
| Access | Open weights | Open weights |
| Context window | 16K tokens | 8K tokens |
| List price, input | $0.80 / M tokens | $0.80 / M tokens |
| List price, output | $0.80 / M tokens | $0.80 / M tokens |
| Cached input | n/a | n/a |
| License | Custom license | Gemma terms |
| Fine-tunable | Yes | 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 $1,240 a month on Deepseek Coder 33B Instruct and $1,240 on Gemma-2 Instruct (27B) at list: a gap of $0.

Deepseek Coder 33B Instruct reads 16K tokens per request against 8K for Gemma-2 Instruct (27B), 2.0x the window. That decides which one can take whole documents without splitting them.

## Choose Deepseek Coder 33B Instruct for

- The longer context window (16K vs 8K tokens)

## Choose Gemma-2 Instruct (27B) for

- Training toward a model you own

## Common questions

### Which is cheaper, Deepseek Coder 33B Instruct or Gemma-2 Instruct (27B)?

Deepseek Coder 33B Instruct, on this workload shape. At list prices it is $0.80/$0.80 per million tokens in and out against $0.80/$0.80 for Gemma-2 Instruct (27B). Billed on Allocate: $0.86/$0.86 against $0.86/$0.86, list plus 7%.

### Which has the bigger context window?

Deepseek Coder 33B Instruct: 16,384 tokens (16K) against 8,192 (8K) for Gemma-2 Instruct (27B).

### Can I fine-tune Deepseek Coder 33B Instruct or Gemma-2 Instruct (27B)?

Both publish open weights (Deepseek Coder 33B Instruct: Custom license; Gemma-2 Instruct (27B): Gemma terms), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/deepseek-deepseek-coder-33b-instruct-vs-google-gemma-2-27b-it) · [Deepseek Coder 33B Instruct](https://allocate.network/models/deepseek-deepseek-coder-33b-instruct.md) · [Gemma-2 Instruct (27B)](https://allocate.network/models/google-gemma-2-27b-it.md) · [Machine-readable catalog](https://allocate.network/catalog.json)