Gemma 7B Instruct vs Llama 3 70B Instruct
Gemma 7B Instruct (2024) and Llama 3 70B 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 70B Instruct ships a 8k-token context window. On HumanEval, Llama 3 70B Instruct leads by 2.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemma 7B Instruct is ~700% cheaper at $0.05/1M; pay for Llama 3 70B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Gemma 7B Instruct | Llama 3 70B Instruct |
|---|---|---|
| Best for | provider-routed production | provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, Classification, and JSON / Tool use |
| Context window | 8k | 8k |
| Cheapest output | $0.25/1M tokens | $0.40/1M tokens |
| Provider routes | 8 tracked | 18 tracked |
| Shared benchmarks | 3 shared | HumanEval leader |
Decision tradeoffs
- Gemma 7B Instruct has the lower cheapest tracked output price at $0.25/1M tokens.
- Local decision data tags Gemma 7B Instruct for Coding, Classification, and JSON / Tool use.
- Llama 3 70B Instruct holds a shared-benchmark lead on HumanEval, ahead by 2.5 points.
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
- 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 7B Instruct
$103
Cheapest tracked route/tier: Replicate API
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $318. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI, NVIDIA NIM, and Fireworks AI; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on NVIDIA NIM, Fireworks AI, and Together AI; start route-level A/B tests there.
- Gemma 7B Instruct is $0.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-21 | 2024-04-18 |
| Context window | 8k | 8k |
| Parameters | 7B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Available |
| 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 70B Instruct |
|---|---|---|
| Input price | $0.05/1M tokens | $0.40/1M tokens |
| Output price | $0.25/1M tokens | $0.40/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 7B Instruct | Llama 3 70B 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 70B Instruct |
|---|---|---|
| HumanEval | 70.1 | 72.6 |
| Instruction-Following Evaluation | 42.6 | 77.8 |
| Massive Multitask Language Understanding | 75.3 | 82.0 |
Continue comparing
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- Llama 3 70B Instruct vs Llama 3.1 70B Instruct
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- DeepSeek V4 Flash vs Llama 3 70B Instruct
- Llama 3 70B Instruct vs Qwen3.6-35B-A3B
- DeepSeek V4 Pro vs Llama 3 70B Instruct
- Llama 3 70B Instruct vs Mixtral 8x7B
- Claude Opus 4.7 vs Llama 3 70B Instruct
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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.