Together AI - Gemma 3n-e4B vs GPT-5.3-Codex

Together AI - Gemma 3n-e4B (2026) and GPT-5.3-Codex (2026) compare a standalone API model against a coding-specialized model. Together AI - Gemma 3n-e4B ships a 8k-token context window, while GPT-5.3-Codex ships a 400k-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $1.75/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Together AI - Gemma 3n-e4B is standalone API model, while GPT-5.3-Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first

Signal	Together AI - Gemma 3n-e4B	GPT-5.3-Codex	How to read it
Product type	Standalone API model	Coding-specialized model	Read downstream rows through the product-type lens before comparing benchmarks, prices, or provider availability.
Best for	tool-calling agents	custom coding agents, code generation, and tool loops	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Agents, Classification, and JSON / Tool use	Coding, RAG, and Agents	Primary workload tags from local decision data.
Context window	8k	400k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$0.04/1M tokens	$14/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	1 tracked	3 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 rows	0 rows	No shared benchmark rows are sourced for this pair yet.

Decision tradeoffs

Choose Together AI - Gemma 3n-e4B when...

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.

Choose GPT-5.3-Codex when...

GPT-5.3-Codex has the larger context window for long prompts, retrieval packs, or transcript analysis.
GPT-5.3-Codex has broader tracked provider coverage for fallback and procurement flexibility.
GPT-5.3-Codex uniquely exposes Vision, Reasoning, and Code execution in local model data.
Local decision data tags GPT-5.3-Codex 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.

Lower estimate Together AI - Gemma 3n-e4B

Requests / monthInput tokens / requestOutput tokens / request

Together AI - Gemma 3n-e4B

$26.00

Cheapest tracked route/tier: Together AI

GPT-5.3-Codex

$4,900

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $4,874. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Together AI - Gemma 3n-e4B -> GPT-5.3-Codex

No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and GPT-5.3-Codex; plan for SDK, billing, or endpoint changes.
GPT-5.3-Codex is $13.96/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
GPT-5.3-Codex adds Vision, Reasoning, and Code execution in local capability data.

GPT-5.3-Codex -> Together AI - Gemma 3n-e4B

No overlapping tracked provider route is sourced for GPT-5.3-Codex and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
Together AI - Gemma 3n-e4B is $13.96/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Reasoning, and Code execution before moving production traffic.

Specs

Specification	Together AI - Gemma 3n-e4B Google DeepMind	GPT-5.3-Codex OpenAI
Released	2026-03-15	2026-02-05
Context window	8k	400k
Parameters	4B	—
Architecture	decoder only	decoder only
License	Gemma	Proprietary
Openness	Open weights	Proprietary
Commercial use	Commercial use with conditions	Commercial use with conditions
Knowledge cutoff	2024-06	2025-08

Pricing and availability

Pricing attribute	Together AI - Gemma 3n-e4B	GPT-5.3-Codex
Input price	$0.02/1M tokens	$1.75/1M tokens
Output price	$0.04/1M tokens	$14/1M tokens
Providers	Together AI	OpenRouter OpenAI API Vercel AI Gateway

Capabilities

Capability	Together AI - Gemma 3n-e4B	GPT-5.3-Codex
Vision	No	Yes
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 vision: GPT-5.3-Codex, reasoning mode: GPT-5.3-Codex, and code execution: GPT-5.3-Codex. 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 GPT-5.3-Codex lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $5.40 per million blended tokens. Availability is 1 providers versus 3, 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 GPT-5.3-Codex 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 GPT-5.3-Codex?

GPT-5.3-Codex supports 400k 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 GPT-5.3-Codex?

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. GPT-5.3-Codex costs $1.75/1M input and $14/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Together AI - Gemma 3n-e4B or GPT-5.3-Codex open source?

Together AI - Gemma 3n-e4B is listed under Gemma. GPT-5.3-Codex 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, Together AI - Gemma 3n-e4B or GPT-5.3-Codex?

GPT-5.3-Codex 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for reasoning mode, Together AI - Gemma 3n-e4B or GPT-5.3-Codex?

GPT-5.3-Codex 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.

Where can I run Together AI - Gemma 3n-e4B and GPT-5.3-Codex?

Together AI - Gemma 3n-e4B is available on Together AI. GPT-5.3-Codex is available on OpenRouter, OpenAI API, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Model pages

Labs and families

Related comparisons

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.

Both models

Together AI - Gemma 3n-e4B GPT-5.3-Codex