LLM Reference

Gemma 3 vs Together AI Qwen2-72B-Instruct

Gemma 3 (2025) and Together AI Qwen2-72B-Instruct (2024) are compact production models from Google DeepMind and Alibaba. Gemma 3 ships a not-yet-sourced context window, while Together AI Qwen2-72B-Instruct ships a 33k-token context window. On pricing, Gemma 3 costs $0.04/1M input tokens versus $0.70/1M 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.

Gemma 3 is ~1650% cheaper at $0.04/1M; pay for Together AI Qwen2-72B-Instruct only for provider fit.

Decision scorecard

Local evidence first
SignalGemma 3Together AI Qwen2-72B-Instruct
Best forprovider-routed productiongeneral production evaluation
Decision fitClassification and JSON / Tool useClassification and JSON / Tool use
Context window33k
Cheapest output$0.08/1M tokens$0.70/1M tokens
Provider routes3 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Gemma 3 when...
  • Gemma 3 has the lower cheapest tracked output price at $0.08/1M tokens.
  • Gemma 3 has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags Gemma 3 for Classification and JSON / Tool use.
Choose Together AI Qwen2-72B-Instruct when...
  • Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • 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.

Lower estimate Gemma 3

Gemma 3

$52.00

Cheapest tracked route/tier: OpenRouter

Together AI Qwen2-72B-Instruct

$735

Cheapest tracked route/tier: Together AI

Estimated monthly gap: $683. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemma 3 -> Together AI Qwen2-72B-Instruct
  • No overlapping tracked provider route is sourced for Gemma 3 and Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
  • Together AI Qwen2-72B-Instruct is $0.62/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Together AI Qwen2-72B-Instruct -> Gemma 3
  • No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Gemma 3; plan for SDK, billing, or endpoint changes.
  • Gemma 3 is $0.62/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.

Specs

Specification
Released2025-03-122024-06-07
Context window33k
Parameters72B
ArchitectureDecoder OnlyDecoder Only
LicenseGemmaApache 2.0OSI-approved
OpennessOpen weightsOpen source
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemma 3Together AI Qwen2-72B-Instruct
Input price$0.04/1M tokens$0.70/1M tokens
Output price$0.08/1M tokens$0.70/1M tokens
Providers

Capabilities

CapabilityGemma 3Together AI Qwen2-72B-Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

For cost, Gemma 3 lists $0.04/1M input and $0.08/1M output tokens on the cheapest tracked provider, while Together AI Qwen2-72B-Instruct lists $0.70/1M input and $0.70/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemma 3 lower by about $0.65 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.

Choose Gemma 3 when provider fit, lower input-token cost, 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 is cheaper, Gemma 3 or Together AI Qwen2-72B-Instruct?

Gemma 3 is cheaper on tracked token pricing. Gemma 3 costs $0.04/1M input and $0.08/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.70/1M input and $0.70/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemma 3 or Together AI Qwen2-72B-Instruct open source?

Gemma 3 is listed under Gemma. 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 structured outputs, Gemma 3 or Together AI Qwen2-72B-Instruct?

Both Gemma 3 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 3 and Together AI Qwen2-72B-Instruct?

Gemma 3 is available on OpenRouter, 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.

When should I pick Gemma 3 over Together AI Qwen2-72B-Instruct?

Gemma 3 is ~1650% cheaper at $0.04/1M; pay for Together AI Qwen2-72B-Instruct only for provider fit. If your workload also depends on provider fit, start with Gemma 3; if it depends on provider fit, run the same evaluation with Together AI Qwen2-72B-Instruct.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.