Together AI - Gemma 3n-e4B vs GLM-5.1
Together AI - Gemma 3n-e4B (2026) and GLM-5.1 (2026) are frontier reasoning models from Google DeepMind and Zhipu AI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while GLM-5.1 ships a 200k-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.98/1M 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.
Together AI - Gemma 3n-e4B is ~4800% cheaper at $0.02/1M; pay for GLM-5.1 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | GLM-5.1 |
|---|---|---|
| Best for | tool-calling agents | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Agents, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 8k | 200k |
| Cheapest output | $0.04/1M tokens | $3.08/1M tokens |
| Provider routes | 1 tracked | 5 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Together AI - Gemma 3n-e4B has the lower cheapest tracked output price at $0.04/1M tokens.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
- GLM-5.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5.1 has broader tracked provider coverage for fallback and procurement flexibility.
- GLM-5.1 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags GLM-5.1 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.
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: Together AI
GLM-5.1
$1,554
Cheapest tracked route/tier: Z.ai
Estimated monthly gap: $1,528. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and GLM-5.1; plan for SDK, billing, or endpoint changes.
- GLM-5.1 is $3.04/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5.1 adds Reasoning and Code execution in local capability data.
- No overlapping tracked provider route is sourced for GLM-5.1 and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $3.04/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2026-04-07 |
| Context window | 8k | 200k |
| Parameters | 4B | 754B total, 40B active |
| Architecture | decoder only | mixture of experts |
| License | Open Source | MIT |
| Knowledge cutoff | 2024-06 | 2025-11 |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | GLM-5.1 |
|---|---|---|
| Input price | $0.02/1M tokens | $0.98/1M tokens |
| Output price | $0.04/1M tokens | $3.08/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | GLM-5.1 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| 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: GLM-5.1 and code execution: GLM-5.1. Both models share function calling, tool use, and 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.
For cost, Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M output tokens on the cheapest tracked provider, while GLM-5.1 lists $0.98/1M input and $3.08/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $1.58 per million blended tokens. Availability is 1 providers versus 5, so concentration risk also matters.
Choose Together AI - Gemma 3n-e4B when provider fit and lower input-token cost are central to the workload. Choose GLM-5.1 when coding workflow support, larger context windows, and broader provider choice 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.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or GLM-5.1?
GLM-5.1 supports 200k tokens, while Together AI - Gemma 3n-e4B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Together AI - Gemma 3n-e4B or GLM-5.1?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. Together AI - Gemma 3n-e4B costs $0.02/1M input and $0.04/1M output tokens. GLM-5.1 costs $0.98/1M input and $3.08/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or GLM-5.1 open source?
Together AI - Gemma 3n-e4B is listed under Open Source. GLM-5.1 is listed under MIT. 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 reasoning mode, Together AI - Gemma 3n-e4B or GLM-5.1?
GLM-5.1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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, Together AI - Gemma 3n-e4B or GLM-5.1?
Both Together AI - Gemma 3n-e4B and GLM-5.1 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Together AI - Gemma 3n-e4B and GLM-5.1?
Together AI - Gemma 3n-e4B is available on Together AI. GLM-5.1 is available on Z.ai, OpenRouter, Fireworks AI, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-25. Data sourced from public model cards and provider documentation.