Phi 4 Multimodal Instruct vs Qwen3.5-397B-A17B
Phi 4 Multimodal Instruct (2025) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from Microsoft Research and Alibaba. Phi 4 Multimodal Instruct ships a 128k-token context window, while Qwen3.5-397B-A17B ships a 262k-token context window. On pricing, Qwen3.5-397B-A17B costs $0.39/1M input tokens versus $0.90/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.5-397B-A17B is ~131% cheaper at $0.39/1M; pay for Phi 4 Multimodal Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Phi 4 Multimodal Instruct | Qwen3.5-397B-A17B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Long context and Vision | Coding, RAG, and Agents |
| Context window | 128k | 262k |
| Cheapest output | $0.90/1M tokens | $2.34/1M tokens |
| Provider routes | 3 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Phi 4 Multimodal Instruct has the lower cheapest tracked output price at $0.90/1M tokens.
- Local decision data tags Phi 4 Multimodal Instruct for Long context and Vision.
- Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-397B-A17B uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Qwen3.5-397B-A17B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Phi 4 Multimodal Instruct
$945
Cheapest tracked route/tier: Fireworks AI
Qwen3.5-397B-A17B
$897
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $48.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Phi 4 Multimodal Instruct and Qwen3.5-397B-A17B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-397B-A17B is $1.44/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.5-397B-A17B adds Reasoning, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-397B-A17B and Phi 4 Multimodal Instruct; plan for SDK, billing, or endpoint changes.
- Phi 4 Multimodal Instruct is $1.44/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2026-02-16 |
| Context window | 128k | 262k |
| Parameters | 5.6B | 397B |
| Architecture | decoder only | MoE |
| License | MIT(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Phi 4 Multimodal Instruct | Qwen3.5-397B-A17B |
|---|---|---|
| Input price | $0.90/1M tokens | $0.39/1M tokens |
| Output price | $0.90/1M tokens | $2.34/1M tokens |
| Providers |
Capabilities
| Capability | Phi 4 Multimodal Instruct | Qwen3.5-397B-A17B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | 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 reasoning mode: Qwen3.5-397B-A17B, function calling: Qwen3.5-397B-A17B, tool use: Qwen3.5-397B-A17B, and structured outputs: Qwen3.5-397B-A17B. 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.
For cost, Phi 4 Multimodal Instruct lists $0.90/1M input and $0.90/1M output tokens on the cheapest tracked provider, while Qwen3.5-397B-A17B lists $0.39/1M input and $2.34/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Phi 4 Multimodal Instruct lower by about $0.07 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose Phi 4 Multimodal Instruct when vision-heavy evaluation are central to the workload. Choose Qwen3.5-397B-A17B when reasoning depth, larger context windows, and lower input-token cost 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Phi 4 Multimodal Instruct or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B supports 262k tokens, while Phi 4 Multimodal Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Phi 4 Multimodal Instruct or Qwen3.5-397B-A17B?
Phi 4 Multimodal Instruct is cheaper on tracked token pricing. Phi 4 Multimodal Instruct costs $0.90/1M input and $0.90/1M output tokens. Qwen3.5-397B-A17B costs $0.39/1M input and $2.34/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Phi 4 Multimodal Instruct or Qwen3.5-397B-A17B open source?
Phi 4 Multimodal Instruct is listed under MIT. Qwen3.5-397B-A17B 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, Phi 4 Multimodal Instruct or Qwen3.5-397B-A17B?
Both Phi 4 Multimodal Instruct and Qwen3.5-397B-A17B 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, Phi 4 Multimodal Instruct or Qwen3.5-397B-A17B?
Both Phi 4 Multimodal Instruct and Qwen3.5-397B-A17B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Phi 4 Multimodal Instruct and Qwen3.5-397B-A17B?
Phi 4 Multimodal Instruct is available on Fireworks AI, NVIDIA NIM, and Microsoft Foundry. Qwen3.5-397B-A17B is available on OpenRouter, Together AI, Alibaba Cloud PAI-EAS, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.