Llama 4 Maverick 17B Instruct FP8 vs Together AI Qwen2-7B-Instruct
Llama 4 Maverick 17B Instruct FP8 (2025) and Together AI Qwen2-7B-Instruct (2024) are compact production models from AI at Meta and Alibaba. Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window, while Together AI Qwen2-7B-Instruct ships a 33k-token context window. On pricing, both list $0.15/1M input tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 fits 31x more tokens; pick it for long-context work and Together AI Qwen2-7B-Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 4 Maverick 17B Instruct FP8 | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Best for | multimodal apps, long-context analysis, and provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Classification and JSON / Tool use |
| Context window | 1m | 33k |
| Cheapest output | $0.60/1M tokens | $0.15/1M tokens |
| Provider routes | 10 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 4 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Maverick 17B Instruct FP8 uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 for Coding, RAG, and Agents.
- Together AI Qwen2-7B-Instruct has the lower cheapest tracked output price at $0.15/1M tokens.
- Local decision data tags Together AI Qwen2-7B-Instruct for 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.
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Together AI Qwen2-7B-Instruct
$158
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $113. 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 Qwen2-7B-Instruct is $0.45/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $0.45/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Llama 4 Maverick 17B Instruct FP8 adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2024-06-07 |
| Context window | 1m | 33k |
| Parameters | 400B (17B active) | 7B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Llama 4 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-08 | - |
Pricing and availability
| Pricing attribute | Llama 4 Maverick 17B Instruct FP8 | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | $0.15/1M tokens | $0.15/1M tokens |
| Output price | $0.60/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Maverick 17B Instruct FP8 | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| 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
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Llama 4 Maverick 17B Instruct FP8 and multimodal input: Llama 4 Maverick 17B Instruct FP8. 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, Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider, while Together AI Qwen2-7B-Instruct lists $0.15/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-7B-Instruct lower by about $0.13 per million blended tokens. Availability is 10 providers versus 1, so concentration risk also matters.
Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Together AI Qwen2-7B-Instruct when provider fit 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.
FAQ
Which has a larger context window, Llama 4 Maverick 17B Instruct FP8 or Together AI Qwen2-7B-Instruct?
Llama 4 Maverick 17B Instruct FP8 supports 1m tokens, while Together AI Qwen2-7B-Instruct supports 33k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 4 Maverick 17B Instruct FP8 or Together AI Qwen2-7B-Instruct?
Together AI Qwen2-7B-Instruct is cheaper on tracked token pricing. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M output tokens. Together AI Qwen2-7B-Instruct costs $0.15/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 4 Maverick 17B Instruct FP8 or Together AI Qwen2-7B-Instruct open source?
Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 Community. Together AI Qwen2-7B-Instruct is listed under Apache 2.0. 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 vision, Llama 4 Maverick 17B Instruct FP8 or Together AI Qwen2-7B-Instruct?
Llama 4 Maverick 17B Instruct FP8 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Llama 4 Maverick 17B Instruct FP8 or Together AI Qwen2-7B-Instruct?
Llama 4 Maverick 17B Instruct FP8 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 4 Maverick 17B Instruct FP8 and Together AI Qwen2-7B-Instruct?
Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Together AI Qwen2-7B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.