Gemma 7B Instruct vs Llama 3.2 1B Instruct
Gemma 7B Instruct (2024) and Llama 3.2 1B Instruct (2024) are compact production models from Google DeepMind and AI at Meta. Gemma 7B Instruct ships a 8k-token context window, while Llama 3.2 1B Instruct ships a 128k-token context window. On Google-Proof Q&A, Gemma 7B Instruct leads by 25.2 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.2 1B Instruct is ~85% cheaper at $0.03/1M; pay for Gemma 7B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Gemma 7B Instruct | Llama 3.2 1B Instruct |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, RAG, and Long context |
| Context window | 8k | 128k |
| Cheapest output | $0.25/1M tokens | $0.20/1M tokens |
| Provider routes | 8 tracked | 7 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 4 shared |
Decision tradeoffs
- Gemma 7B Instruct holds a shared-benchmark lead on Google-Proof Q&A, ahead by 25.2 points.
- Gemma 7B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Gemma 7B Instruct for Coding, Classification, and JSON / Tool use.
- Llama 3.2 1B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.2 1B Instruct has the lower cheapest tracked output price at $0.20/1M tokens.
- Local decision data tags Llama 3.2 1B Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemma 7B Instruct
$103
Cheapest tracked route/tier: Replicate API
Llama 3.2 1B Instruct
$71.85
Cheapest tracked route/tier: Cloudflare Workers AI
Estimated monthly gap: $30.65. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Cloudflare Workers AI, Fireworks AI, and NVIDIA NIM; start route-level A/B tests there.
- Llama 3.2 1B Instruct is $0.05/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on NVIDIA NIM, Fireworks AI, and Cloudflare Workers AI; start route-level A/B tests there.
- Gemma 7B Instruct is $0.05/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-21 | 2024-09-25 |
| Context window | 8k | 128k |
| Parameters | 7B | 1.23B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2023-04 | 2023-12 |
Pricing and availability
| Pricing attribute | Gemma 7B Instruct | Llama 3.2 1B Instruct |
|---|---|---|
| Input price | $0.05/1M tokens | $0.03/1M tokens |
| Output price | $0.25/1M tokens | $0.20/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 7B Instruct | Llama 3.2 1B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemma 7B Instruct | Llama 3.2 1B Instruct |
|---|---|---|
| Google-Proof Q&A | 50.8 | 25.6 |
| HumanEval | 70.1 | 28.1 |
| Massive Multitask Language Understanding | 75.3 | 49.3 |
| HellaSwag | 89.2 | 78.9 |
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.