DeepSeek V4.1 Flash vs Gemma 2 27B

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

DeepSeekV4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.

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Reasoning estimated
▲
Speed estimated
▲
Input
Output
Context
▲1 M tokens
Max output
▲944 K
Input, $ per 1M tokens
▲$0.300
Output, $ per 1M tokens
$1.20
Cache read, $ per 1M
$0.006
Batch (input / output)
$0.112 / $0.336
Tool calling
Yes
Released
▲09/10/2026
Knowledge cutoff
2025-05
API id
deepseek/deepseek-v4.1-flash
Google2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models.

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Reasoning estimated
Speed estimated
Input
Output
Context
8 K tokens
Max output
2 K
Input, $ per 1M tokens
$0.650
Output, $ per 1M tokens
▲$0.650
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
No
Released
07/13/2024
Knowledge cutoff
—
API id
google/gemma-2-27b-it
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: DeepSeek V4.1 Flash vs Gemma 2 27B?

  • DeepSeek V4.1 Flash: cheapest input (54% less than Gemma 2 27B)
  • Gemma 2 27B: cheapest output
  • DeepSeek V4.1 Flash: largest context (1 M)
  • DeepSeek V4.1 Flash: the newest (09/10/2026)
  • DeepSeek V4.1 Flash: most reasoning (estimated)
  • DeepSeek V4.1 Flash: the fastest (estimated)

Pricing is split: DeepSeek V4.1 Flash wins on input and Gemma 2 27B wins on output. DeepSeek V4.1 Flash accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash accepts images; DeepSeek V4.1 Flash has a reasoning mode. DeepSeek V4.1 Flash offers a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

DeepSeek V4.1 Flash
$9.30/mo
Gemma 2 27B
$12.35/mo

With DeepSeek V4.1 Flash you save $3.05 a month versus Gemma 2 27B (25% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 6Qwen3.5-Flash Qwen$2.02

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1DeepSeek V4.1 Flash DeepSeek$0.023
  2. 2Gemma 2 27B Google$0.049
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: DeepSeek V4.1 Flash vs Gemma 2 27B?

Pricing is split: DeepSeek V4.1 Flash wins on input and Gemma 2 27B wins on output. DeepSeek V4.1 Flash accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash accepts images; DeepSeek V4.1 Flash has a reasoning mode. DeepSeek V4.1 Flash offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: DeepSeek V4.1 Flash and Gemma 2 27B?

DeepSeek V4.1 Flash is cheaper: $0.300 per million input tokens and $1.20 per million output tokens, versus $0.650 / $0.650 for Gemma 2 27B.

Which has more context: DeepSeek V4.1 Flash and Gemma 2 27B?

DeepSeek V4.1 Flash accepts 1 M tokens of context; Gemma 2 27B accepts 8 K.

Which is newer: DeepSeek V4.1 Flash and Gemma 2 27B?

DeepSeek V4.1 Flash was released on 09/10/2026; Gemma 2 27B on 07/13/2024.

What would 10,000 requests a month cost with DeepSeek V4.1 Flash and Gemma 2 27B?

With 1,500 input and 400 output tokens per request: DeepSeek V4.1 Flash: $9.30; Gemma 2 27B: $12.35 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.