Gemma-2-2b-it
nebius/gemma-2-2b-itمن nebius · أُصدِر 2024-07-31 · تاريخ المعرفة: 2024-06
⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding1
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents1
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency94
- Headline price (log-scaled)89/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness43
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.13 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $0.26 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.07 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.22 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.28 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
تفاصيل التسعير
السعر المُوصى به من nebius · google/gemma-2-2b-it
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| Nebius Token Factory nebius | google/gemma-2-2b-it | $0.020 | $0.060 | 8K | 2024-07-31 |
Frequently asked questions
How much does Gemma-2-2b-it cost?
Gemma-2-2b-it costs $0.020 per 1M input tokens and $0.060 per 1M output tokens, sourced from nebius. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Gemma-2-2b-it?
Gemma-2-2b-it has a context window of 8K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does Gemma-2-2b-it support tool calling?
No. Gemma-2-2b-it does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Gemma-2-2b-it support structured output / JSON mode?
No. Gemma-2-2b-it does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can Gemma-2-2b-it accept image input?
No. Gemma-2-2b-it only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Gemma-2-2b-it open-weight?
Yes. Gemma-2-2b-it's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Gemma-2-2b-it?
If Gemma-2-2b-it doesn't fit, consider Hermes-4-70B, Hermes-4-405B, INTELLECT-3. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More nebius models
- Hermes-4-70B$0.13 in / $0.40 out
- Hermes-4-405B$1.00 in / $3.00 out
- INTELLECT-3$0.20 in / $1.10 out
Capability lists this model is in
آخر تحديث:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.