GPT-5.5 vs Llama 3.2 1B

Name: GPT-5.5
Author: OpenAI

GPT-5.5 (2026) and Llama 3.2 1B (2024) are frontier reasoning models from OpenAI and AI at Meta. GPT-5.5 ships a 1.05m-token context window, while Llama 3.2 1B ships a 128k-token context window. On HumanEval, GPT-5.5 leads by 66.1 pts. On pricing, GPT-5.5 ranges from $5 to $8/1M input tokens by tier; Llama 3.2 1B costs $0.10/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-5.5 fits 8x more tokens; pick it for long-context work and Llama 3.2 1B for tighter calls.

Decision scorecard

Local evidence first

Signal	GPT-5.5	Llama 3.2 1B	How to read it
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	general production evaluation	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding, Long context, and Classification	Primary workload tags from local decision data.
Context window	1.05m	128k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$30/1M tokens	$0.10/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	1 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	HumanEval leader	2 shared	Visible benchmark lead is 66.1 points on HumanEval.

Decision tradeoffs

Choose GPT-5.5 when...

GPT-5.5 holds a shared-benchmark lead on HumanEval, ahead by 66.1 points.
GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
GPT-5.5 has broader tracked provider coverage for fallback and route flexibility.
GPT-5.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
Local decision data tags GPT-5.5 for Coding, RAG, and Agents.

Choose Llama 3.2 1B when...

Llama 3.2 1B has the lower cheapest tracked output price at $0.10/1M tokens.
Local decision data tags Llama 3.2 1B for Coding, Long context, and Classification.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Llama 3.2 1B

Requests / monthInput tokens / requestOutput tokens / request

GPT-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Llama 3.2 1B

$105

Cheapest tracked route/tier: Fireworks AI

Estimated monthly gap: $11,395. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.5 -> Llama 3.2 1B

No overlapping tracked provider route is sourced for GPT-5.5 and Llama 3.2 1B; plan for SDK, billing, or endpoint changes.
Llama 3.2 1B is $29.90/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Llama 3.2 1B -> GPT-5.5

No overlapping tracked provider route is sourced for Llama 3.2 1B and GPT-5.5; plan for SDK, billing, or endpoint changes.
GPT-5.5 is $29.90/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
GPT-5.5 adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification	GPT-5.5 OpenAI	Llama 3.2 1B AI at Meta
Released	2026-04-23	2024-09-25
Context window	1.05m	128k
Parameters	—	1.23B
Architecture	Decoder Only	Decoder Only
License	Proprietary	Llama 3 Community
Openness	Proprietary	Open weights
Weights	Not released	Unknown
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: conditional
Knowledge cutoff	2025-12	2023-12

Pricing and availability

Pricing attribute	GPT-5.5	Llama 3.2 1B
Input price	0-272K input tokens $5/1M tokens Standard GPT-5.5 token pricing before the long-context surcharge threshold. 272K+ input tokens $8/1M tokens Long-context surcharge applies above 272K input tokens for the full session.	$0.10/1M tokens
Output price	0-272K input tokens $30/1M tokens Standard GPT-5.5 token pricing before the long-context surcharge threshold. 272K+ input tokens $36/1M tokens Long-context surcharge applies above 272K input tokens for the full session.	$0.10/1M tokens
Providers	OpenAI API OpenRouter Vercel AI Gateway AWS Bedrock	Fireworks AI

Capabilities

Capability	GPT-5.5	Llama 3.2 1B
Vision	Yes	No
Multimodal	Yes	No
Reasoning	Yes	No
JSON / Tool use	Yes	No
Structured outputs	Yes	No
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	GPT-5.5	Llama 3.2 1B
HumanEval	94.2	28.1
Massive Multitask Language Understanding	92.4	54.2

Continue comparing

Model pages

Labs and families

Related comparisons

Popular comparisons for GPT-5.5

Popular comparisons for Llama 3.2 1B

Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.

Both models

GPT-5.5 Llama 3.2 1B