Gemma 3 4B vs Qwen3.7 Flash

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

Data updated on November 14, 2026· 230 models

Google3 4B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

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Reasoning estimated
Speed estimated
Input
Output
Context
131 K tokens
Max output
16 K
Input, $ per 1M tokens
$0.050
Output, $ per 1M tokens
▲$0.100
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
No
Released
03/13/2025
Knowledge cutoff
—
API id
google/gemma-3-4b-it
QwenQwen3.7 Flash

Qwen3.7 Flash is a vision-language reasoning model from Alibaba.

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Reasoning estimated
▲
Speed estimated
▲
Input
Output
Context
▲1 M tokens
Max output
▲66 K
Input, $ per 1M tokens
▲$0.030
Output, $ per 1M tokens
$0.130
Cache read, $ per 1M
$0.006
Batch (input / output)
—
Tool calling
Yes
Released
▲07/15/2026
Knowledge cutoff
—
API id
qwen/qwen3.7-flash
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 3 4B vs Qwen3.7 Flash?

  • Qwen3.7 Flash: cheapest input (40% less than Gemma 3 4B)
  • Gemma 3 4B: cheapest output
  • Qwen3.7 Flash: largest context (1 M)
  • Qwen3.7 Flash: the newest (07/15/2026)
  • Qwen3.7 Flash: most reasoning (estimated)
  • Qwen3.7 Flash: the fastest (estimated)

Pricing is split: Qwen3.7 Flash wins on input and Gemma 3 4B wins on output. Qwen3.7 Flash accepts more context (1 M). On capabilities, Qwen3.7 Flash 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 3 4B
$1.15/mo
Qwen3.7 Flash
$0.97/mo

With Qwen3.7 Flash you save $0.18 a month versus Gemma 3 4B (16% 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 V4.1 Flash DeepSeek$1.57
  5. 5DeepSeek V4 Flash 0731 DeepSeek$1.85
  6. 6Ministral 3 3B 2512 Mistral$1.90

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. 1Qwen3.7 Flash Qwen$0.002
  2. 2Gemma 3 4B Google$0.004
  3. 3Claude Haiku 5.5 Anthropic$0.008
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: Gemma 3 4B vs Qwen3.7 Flash?

Pricing is split: Qwen3.7 Flash wins on input and Gemma 3 4B wins on output. Qwen3.7 Flash accepts more context (1 M). On capabilities, Qwen3.7 Flash has a reasoning mode.

Which is cheaper: Gemma 3 4B and Qwen3.7 Flash?

Qwen3.7 Flash is cheaper: $0.030 per million input tokens and $0.130 per million output tokens, versus $0.050 / $0.100 for Gemma 3 4B.

Which has more context: Gemma 3 4B and Qwen3.7 Flash?

Qwen3.7 Flash accepts 1 M tokens of context; Gemma 3 4B accepts 131 K.

Which is newer: Gemma 3 4B and Qwen3.7 Flash?

Qwen3.7 Flash was released on 07/15/2026; Gemma 3 4B on 03/13/2025.

What would 10,000 requests a month cost with Gemma 3 4B and Qwen3.7 Flash?

With 1,500 input and 400 output tokens per request: Gemma 3 4B: $1.15; Qwen3.7 Flash: $0.97 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.