Gemma 3 12B Instruct vs Llama 3 70B Instruct
Gemma 3 12B Instruct (2025) and Llama 3 70B Instruct (2024) are compact production models from Google DeepMind and AI at Meta. Gemma 3 12B Instruct ships a 128k-token context window, while Llama 3 70B Instruct ships a 8k-token context window. On pricing, Gemma 3 12B Instruct costs $0.20/1M input tokens versus $0.40/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemma 3 12B Instruct is ~100% cheaper at $0.20/1M; pay for Llama 3 70B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Gemma 3 12B Instruct | Llama 3 70B Instruct |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | Long context | Coding, Classification, and JSON / Tool use |
| Context window | 128k | 8k |
| Cheapest output | $0.20/1M tokens | $0.40/1M tokens |
| Provider routes | 1 tracked | 18 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemma 3 12B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemma 3 12B Instruct has the lower cheapest tracked output price at $0.20/1M tokens.
- Local decision data tags Gemma 3 12B Instruct for Long context.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3 70B Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemma 3 12B Instruct
$210
Cheapest tracked route/tier: Fireworks AI
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $210. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 3 70B Instruct adds Structured outputs in local capability data.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Gemma 3 12B Instruct is $0.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2024-04-18 |
| Context window | 128k | 8k |
| Parameters | 12B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2024-08 | 2023-12 |
Pricing and availability
| Pricing attribute | Gemma 3 12B Instruct | Llama 3 70B Instruct |
|---|---|---|
| Input price | $0.20/1M tokens | $0.40/1M tokens |
| Output price | $0.20/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 3 12B Instruct | Llama 3 70B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on structured outputs: Llama 3 70B Instruct. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Gemma 3 12B Instruct lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Llama 3 70B Instruct lists $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 12B Instruct lower by about $0.20 per million blended tokens. Availability is 1 providers versus 18, so concentration risk also matters.
Choose Gemma 3 12B Instruct when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Llama 3 70B Instruct when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Gemma 3 12B Instruct or Llama 3 70B Instruct?
Gemma 3 12B Instruct supports 128k tokens, while Llama 3 70B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemma 3 12B Instruct or Llama 3 70B Instruct?
Gemma 3 12B Instruct is cheaper on tracked token pricing. Gemma 3 12B Instruct costs $0.20/1M input and $0.20/1M output tokens. Llama 3 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 3 12B Instruct or Llama 3 70B Instruct open source?
Gemma 3 12B Instruct is listed under Gemma. Llama 3 70B Instruct is listed under Llama 3 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for structured outputs, Gemma 3 12B Instruct or Llama 3 70B Instruct?
Llama 3 70B Instruct has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemma 3 12B Instruct and Llama 3 70B Instruct?
Gemma 3 12B Instruct is available on Fireworks AI. Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemma 3 12B Instruct over Llama 3 70B Instruct?
Gemma 3 12B Instruct is ~100% cheaper at $0.20/1M; pay for Llama 3 70B Instruct only for provider fit. If your workload also depends on long-context analysis, start with Gemma 3 12B Instruct; if it depends on provider fit, run the same evaluation with Llama 3 70B Instruct.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.