LLM Reference

Gemma 4 E4B IT vs Together AI Qwen2-72B-Instruct

Gemma 4 E4B IT (2026) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Google DeepMind and Alibaba. Gemma 4 E4B IT ships a 128k-token context window, while Together AI Qwen2-72B-Instruct ships a 33k-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. It focuses on practical selection signals rather than broad model-family marketing.

Gemma 4 E4B IT is safer overall; choose Together AI Qwen2-72B-Instruct when provider fit matters.

Decision scorecard

Local evidence first
SignalGemma 4 E4B ITTogether AI Qwen2-72B-Instruct
Best formultimodal apps, tool-calling agents, and provider-routed productiongeneral production evaluation
Decision fitRAG, Agents, and Long contextClassification and JSON / Tool use
Context window128k33k
Cheapest output-$0.70/1M tokens
Provider routes2 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemma 4 E4B IT when...
  • Gemma 4 E4B IT has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemma 4 E4B IT has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemma 4 E4B IT uniquely exposes Multimodal and Function calling in local model data.
  • Local decision data tags Gemma 4 E4B IT for RAG, Agents, and Long context.
Choose Together AI Qwen2-72B-Instruct when...
  • Local decision data tags Together AI Qwen2-72B-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.

Gemma 4 E4B IT

Unavailable

No complete token price in local provider data

Together AI Qwen2-72B-Instruct

$735

Cheapest tracked route/tier: Together AI

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Gemma 4 E4B IT -> Together AI Qwen2-72B-Instruct
  • No overlapping tracked provider route is sourced for Gemma 4 E4B IT and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Multimodal and Function calling before moving production traffic.
Together AI Qwen2-72B-Instruct -> Gemma 4 E4B IT
  • No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Gemma 4 E4B IT; plan for SDK, billing, or endpoint changes.
  • Gemma 4 E4B IT adds Multimodal and Function calling in local capability data.

Specs

Specification
Released2026-03-312024-06-07
Context window128k33k
Parameters4B72B
Architecture-decoder only
LicenseApache 2.0Apache 2.0
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemma 4 E4B ITTogether AI Qwen2-72B-Instruct
Input price-$0.70/1M tokens
Output price-$0.70/1M tokens
Providers

Capabilities

CapabilityGemma 4 E4B ITTogether AI Qwen2-72B-Instruct
VisionNoNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: Gemma 4 E4B IT and function calling: Gemma 4 E4B IT. 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.

Pricing coverage is uneven: Gemma 4 E4B IT has no token price sourced yet and Together AI Qwen2-72B-Instruct has $0.70/1M input tokens. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemma 4 E4B IT when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Together AI Qwen2-72B-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. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Gemma 4 E4B IT or Together AI Qwen2-72B-Instruct?

Gemma 4 E4B IT supports 128k tokens, while Together AI Qwen2-72B-Instruct supports 33k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemma 4 E4B IT or Together AI Qwen2-72B-Instruct open source?

Gemma 4 E4B IT is listed under Apache 2.0. Together AI Qwen2-72B-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 multimodal input, Gemma 4 E4B IT or Together AI Qwen2-72B-Instruct?

Gemma 4 E4B IT 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, Gemma 4 E4B IT or Together AI Qwen2-72B-Instruct?

Gemma 4 E4B IT 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 structured outputs, Gemma 4 E4B IT or Together AI Qwen2-72B-Instruct?

Both Gemma 4 E4B IT and Together AI Qwen2-72B-Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemma 4 E4B IT and Together AI Qwen2-72B-Instruct?

Gemma 4 E4B IT is available on Google AI Studio and GCP Vertex AI. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.