Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structured outputs and function calling.
Modalities
In / Out Price
$0.05 / $0.10per 1M
Context
131K
Released
Mar 13, 2025
Knowledge Cutoff
Aug 2024
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structured outputs and function calling.
Gemma 3 4B costs $0.05/M input tokens and $0.10/M output tokens.
Gemma 3 4B has a 131,072 token context window. It supports up to 16,384 completion tokens.
The Gemma 3 4B endpoint shown on this page does not accept tools, so function calling is unavailable there. It also supports structured outputs via a JSON schema in response_format.
Gemma 3 4B accepts text and images as input and returns text.
Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.5 Flash Lite and 25 more are other text models from Google.
Gemma 3 4B was released on March 13, 2025. Its knowledge cutoff is August 31, 2024.
| $0.05 | $0.10 | 0.93s | 15 tps |
Throughput
15tok/s
P50, best across providers
Latency
0.93s
P50, best provider
100.00%
99.85%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.