Gemma 7B Instruct vs Together AI - Llama 3 8B Lite
Gemma 7B Instruct (2024) and Together AI - Llama 3 8B Lite (2025) are compact production models from Google DeepMind and AI at Meta. Gemma 7B Instruct ships a 8k-token context window, while Together AI - Llama 3 8B Lite ships a 8k-token context window. 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 ~100% cheaper at $0.05/1M; pay for Together AI - Llama 3 8B Lite only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Gemma 7B Instruct | Together AI - Llama 3 8B Lite |
|---|---|---|
| Best for | provider-routed production | tool-calling agents |
| Decision fit | Coding, Classification, and JSON / Tool use | Agents, Classification, and JSON / Tool use |
| Context window | 8k | 8k |
| Cheapest output | $0.25/1M tokens | $0.10/1M tokens |
| Provider routes | 8 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 7B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Gemma 7B Instruct for Coding, Classification, and JSON / Tool use.
- Together AI - Llama 3 8B Lite has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI - Llama 3 8B Lite has the lower cheapest tracked output price at $0.10/1M tokens.
- Together AI - Llama 3 8B Lite uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Together AI - Llama 3 8B Lite for Agents, 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
Together AI - Llama 3 8B Lite
$105
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $2.50. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI - Llama 3 8B Lite is $0.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Together AI - Llama 3 8B Lite adds Function calling and Tool use in local capability data.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Gemma 7B Instruct is $0.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-02-21 | 2025-07-15 |
| Context window | 8k | 8k |
| Parameters | 7B | 8B |
| Architecture | decoder only | decoder only |
| License | Gemma | Llama 3 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2023-04 | 2024-03 |
Pricing and availability
| Pricing attribute | Gemma 7B Instruct | Together AI - Llama 3 8B Lite |
|---|---|---|
| Input price | $0.05/1M tokens | $0.10/1M tokens |
| Output price | $0.25/1M tokens | $0.10/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 7B Instruct | Together AI - Llama 3 8B Lite |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Together AI - Llama 3 8B Lite and tool use: Together AI - Llama 3 8B Lite. Both models share structured outputs, 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 7B Instruct lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider, while Together AI - Llama 3 8B Lite lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Llama 3 8B Lite lower by about $0.01 per million blended tokens. Availability is 8 providers versus 1, so concentration risk also matters.
Choose Gemma 7B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Together AI - Llama 3 8B Lite when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Gemma 7B Instruct or Together AI - Llama 3 8B Lite?
Together AI - Llama 3 8B Lite supports 8k tokens, while Gemma 7B 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 7B Instruct or Together AI - Llama 3 8B Lite?
Together AI - Llama 3 8B Lite is cheaper on tracked token pricing. Gemma 7B Instruct costs $0.05/1M input and $0.25/1M output tokens. Together AI - Llama 3 8B Lite costs $0.10/1M input and $0.10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemma 7B Instruct or Together AI - Llama 3 8B Lite open source?
Gemma 7B Instruct is listed under Gemma. Together AI - Llama 3 8B Lite 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 function calling, Gemma 7B Instruct or Together AI - Llama 3 8B Lite?
Together AI - Llama 3 8B Lite has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Gemma 7B Instruct or Together AI - Llama 3 8B Lite?
Together AI - Llama 3 8B Lite has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemma 7B Instruct and Together AI - Llama 3 8B Lite?
Gemma 7B Instruct is available on NVIDIA NIM, Fireworks AI, Together AI, GCP Vertex AI, and Cloudflare Workers AI. Together AI - Llama 3 8B Lite is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.