Phi 4 Multimodal Instruct vs TxGemma
Phi 4 Multimodal Instruct (2025) and TxGemma (2024) are compact production models from Microsoft Research and Google DeepMind. Phi 4 Multimodal Instruct ships a 128k-token context window, while TxGemma ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Phi 4 Multimodal Instruct is safer overall; choose TxGemma when provider fit matters.
Decision scorecard
Local evidence first| Signal | Phi 4 Multimodal Instruct | TxGemma |
|---|---|---|
| Best for | multimodal apps and provider-routed production | tool-calling agents |
| Decision fit | Long context and Vision | Agents, Classification, and JSON / Tool use |
| Context window | 128k | — |
| Cheapest output | $0.90/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Phi 4 Multimodal Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Phi 4 Multimodal Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Phi 4 Multimodal Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Phi 4 Multimodal Instruct for Long context and Vision.
- TxGemma uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags TxGemma 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.
Phi 4 Multimodal Instruct
$945
Cheapest tracked route/tier: Fireworks AI
TxGemma
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 Phi 4 Multimodal Instruct and TxGemma; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- TxGemma adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for TxGemma and Phi 4 Multimodal Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
- Phi 4 Multimodal Instruct adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2024-06-01 |
| Context window | 128k | — |
| Parameters | 5.6B | 2B |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Phi 4 Multimodal Instruct | TxGemma |
|---|---|---|
| Input price | $0.90/1M tokens | - |
| Output price | $0.90/1M tokens | - |
| Providers |
Capabilities
| Capability | Phi 4 Multimodal Instruct | TxGemma |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| 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 scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Phi 4 Multimodal Instruct, multimodal input: Phi 4 Multimodal Instruct, function calling: TxGemma, tool use: TxGemma, and structured outputs: TxGemma. Both models share the core language-model surface, 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: Phi 4 Multimodal Instruct has $0.90/1M input tokens and TxGemma has no token price sourced yet. Provider availability is 3 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Phi 4 Multimodal Instruct when vision-heavy evaluation and broader provider choice are central to the workload. Choose TxGemma 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Is Phi 4 Multimodal Instruct or TxGemma open source?
Phi 4 Multimodal Instruct is listed under MIT. TxGemma is listed under Proprietary. 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 TxGemma?
Phi 4 Multimodal Instruct 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, Phi 4 Multimodal Instruct or TxGemma?
Phi 4 Multimodal Instruct 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.
Which is better for function calling, Phi 4 Multimodal Instruct or TxGemma?
TxGemma 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, Phi 4 Multimodal Instruct or TxGemma?
TxGemma 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 Phi 4 Multimodal Instruct and TxGemma?
Phi 4 Multimodal Instruct is available on Fireworks AI, NVIDIA NIM, and Microsoft Foundry. TxGemma is available on GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.