Gemma 2 2B Instruct
Gemma 2 2B Instruct is worth evaluating for coding and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating coding and classification
- Workloads that can use a 8k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest of 1 route · NVIDIA NIM
About
Gemma 2 2B Instruct is Google DeepMind's Gemma 2 model. Weights are openly available for self-hosting and scores 36.8 on GPQA.
Gemma 2 2B Instruct is an open-weight model in the Gemma 2 family. The structured metadata tracks a 8k-token context window. This page tracks provider routes through NVIDIA NIM. Headline tracked benchmarks include Google-Proof Q&A 36.8, HellaSwag 85.9, and HumanEval 52.4.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
Classification
2 relevant benchmarks in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| NVIDIA NIM | - | - | ServerlessPartial |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 36.8 | diamond | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HellaSwag | 85.9 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 52.4 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 64.7 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · NVIDIA NIM