Llama 3.3 70B vs Qwen3.5-4B
Llama 3.3 70B (2025) and Qwen3.5-4B (2026) are compact production models from AI at Meta and Alibaba. Llama 3.3 70B ships a 8k-token context window, while Qwen3.5-4B ships a 262k-token context window. On MMLU PRO, Qwen3.5-4B leads by 7.8 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.5-4B fits 33x more tokens; pick it for long-context work and Llama 3.3 70B for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | Qwen3.5-4B |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps |
| Decision fit | Agents, Vision, and Classification | Coding, Agents, and Long context |
| Context window | 8k | 262k |
| Cheapest output | $0.90/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Llama 3.3 70B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.3 70B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Qwen3.5-4B holds a shared-benchmark lead on MMLU PRO, ahead by 7.8 points.
- Qwen3.5-4B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Qwen3.5-4B for Coding, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Qwen3.5-4B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.3 70B and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3.5-4B and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2026-03-02 |
| Context window | 8k | 262k |
| Parameters | 70B | 4B |
| Architecture | Decoder Only | - |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-12 | - |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Qwen3.5-4B |
|---|---|---|
| Input price | $0.90/1M tokens | - |
| Output price | $0.90/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 3.3 70B | Qwen3.5-4B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 3.3 70B | Qwen3.5-4B |
|---|---|---|
| MMLU PRO | 71.3 | 79.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3.3 70B at 71.3 and Qwen3.5-4B at 79.1, with Qwen3.5-4B ahead by 7.8 points. The largest visible gap is 7.8 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on function calling: Llama 3.3 70B and tool use: Llama 3.3 70B. Both models share vision and multimodal input, 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.
Pricing coverage is uneven: Llama 3.3 70B has $0.90/1M input tokens and Qwen3.5-4B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.3 70B when vision-heavy evaluation and broader provider choice are central to the workload. Choose Qwen3.5-4B 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, Llama 3.3 70B or Qwen3.5-4B?
Qwen3.5-4B supports 262k tokens, while Llama 3.3 70B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.3 70B or Qwen3.5-4B open source?
Llama 3.3 70B is listed under Llama 3 Community. Qwen3.5-4B 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 3.3 70B or Qwen3.5-4B?
Both Llama 3.3 70B and Qwen3.5-4B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Llama 3.3 70B or Qwen3.5-4B?
Both Llama 3.3 70B and Qwen3.5-4B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for function calling, Llama 3.3 70B or Qwen3.5-4B?
Llama 3.3 70B 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.
Where can I run Llama 3.3 70B and Qwen3.5-4B?
Llama 3.3 70B is available on Fireworks AI. Qwen3.5-4B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.