Gemma 2 27B vs Grok 4.7

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

Data updated on September 30, 2026· 217 models

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
xAIGrok 4.7

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲500 K tokens
Max output
▲450 K
Input, $ per 1M tokens
$2.00
Output, $ per 1M tokens
$6.00
Cache read, $ per 1M
$0.500
Batch (input / output)
—
Tool calling
Yes
Released
▲09/21/2026
Knowledge cutoff
2026-05
API id
x-ai/grok-4.7
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: Gemma 2 27B vs Grok 4.7?

  • Gemma 2 27B: cheapest input (68% less than Grok 4.7)
  • Gemma 2 27B: cheapest output
  • Grok 4.7: largest context (500 K)
  • Grok 4.7: the newest (09/21/2026)
  • Grok 4.7: most reasoning (estimated)

Gemma 2 27B costs 68% less on input and 89% less on output than Grok 4.7 ($0.650 / $0.650 versus $2.00 / $6.00 per million tokens). Grok 4.7 accepts more context (500 K). On capabilities, Grok 4.7 accepts images; Grok 4.7 has a reasoning mode.

What would your product cost?

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

Gemma 2 27B
$12.35/mo
Grok 4.7
$54.00/mo

With Gemma 2 27B you save $41.65 a month versus Grok 4.7 (77% less).

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

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  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. 1Gemma 2 27B Google$0.049
  2. 2Grok 4.7 xAI$0.152
  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: Gemma 2 27B vs Grok 4.7?

Gemma 2 27B costs 68% less on input and 89% less on output than Grok 4.7 ($0.650 / $0.650 versus $2.00 / $6.00 per million tokens). Grok 4.7 accepts more context (500 K). On capabilities, Grok 4.7 accepts images; Grok 4.7 has a reasoning mode.

Which is cheaper: Gemma 2 27B and Grok 4.7?

Gemma 2 27B is cheaper: $0.650 per million input tokens and $0.650 per million output tokens, versus $2.00 / $6.00 for Grok 4.7.

Which has more context: Gemma 2 27B and Grok 4.7?

Grok 4.7 accepts 500 K tokens of context; Gemma 2 27B accepts 8 K.

Which is newer: Gemma 2 27B and Grok 4.7?

Grok 4.7 was released on 09/21/2026; Gemma 2 27B on 07/13/2024.

What would 10,000 requests a month cost with Gemma 2 27B and Grok 4.7?

With 1,500 input and 400 output tokens per request: Gemma 2 27B: $12.35; Grok 4.7: $54.00 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.