Claude Sonnet 4.5 vs gpt-oss-120b

Anthropic · US  |  OpenAI · US · Updated June 2026

Quick verdict

Pick Claude Sonnet 4.5 for agentic coding — 77.2% on swe-bench verified, the best score any model had posted at its launch or computer use and gui automation (61.4% osworld at launch). Pick gpt-oss-120b for self-hostable on a single 80gb h100 gpu via mxfp4 or configurable reasoning depth (low/medium/high). Choose gpt-oss-120b if you need self-hosting or data privacy; Claude Sonnet 4.5 if you want a managed API.

Claude Sonnet 4.5 (Anthropic) and gpt-oss-120b (OpenAI) are two of the models people most often weigh against each other in 2026. Claude Sonnet 4.5 is september 2025's coding state of the art at $3/$15 — still supported, but 200K-capped and twice superseded. gpt-oss-120b is openAI's open-weight 117B-parameter MoE reasoning model (5.1B active) that runs on a single 80GB GPU and approaches o4-mini on reasoning, coding, and tool use. They diverge most on price, context window, open vs. closed weights and coding benchmarks — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecClaude Sonnet 4.5gpt-oss-120b
ProviderAnthropic (US) OpenAI (US)
ReleasedSeptember 29, 2025 August 5, 2025
Context window200K (~300 pages) 131K (~197 pages)
Price (in/out)$3/$15 per 1M tokens Open weight (self-host / free)
Open weight?No — API only Yes — self-hostable
Modalitiestext, image, code text, code
SWE-Bench Verified77.2% 62.4%
MRCR v2 @ 1MNot published Not published

Who wins what

Agentic coding — 77.2% on SWE-Bench Verified, the best score any model had posted at its launch

Claude Sonnet 4.5

It scores 77.2% on SWE-Bench Verified against gpt-oss-120b's 62.4% — a 14.8-point edge on real repository work.

Computer use and GUI automation (61.4% OSWorld at launch)

Claude Sonnet 4.5

September 2025's coding state of the art at $3/$15 — still supported, but 200K-capped and twice superseded — and it leads SWE-Bench Verified 77.2% to 62.4%.

Long-horizon autonomy — Anthropic reported 30+ hours of sustained focus on multi-step tasks

Claude Sonnet 4.5

Its 200K window holds about 1.5× more than gpt-oss-120b's 131K in a single prompt.

Self-hostable on a single 80GB H100 GPU via MXFP4

gpt-oss-120b

Open weights make this possible at all — Claude Sonnet 4.5 is API-only, so it cannot leave the vendor's servers.

Configurable reasoning depth (low/medium/high)

gpt-oss-120b

OpenAI's open-weight 117B-parameter MoE reasoning model (5.1B active) that runs on a single 80GB GPU and approaches o4-mini on reasoning, coding, and tool use — and its weights are open while Claude Sonnet 4.5 is API-only.

Agentic tool use, function calling, and code execution

gpt-oss-120b

gpt-oss-120b lists agentic tool use, function calling, and code execution among its strengths; Claude Sonnet 4.5 does not.

Lowest cost at scale

gpt-oss-120b

Its weights are open, so at volume you pay for your own hardware instead of Claude Sonnet 4.5's $3/$15 per 1M tokens.

Largest single-prompt input

Claude Sonnet 4.5

Its 200K window is about 1.5× larger than gpt-oss-120b's 131K, fitting roughly 300 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

gpt-oss-120b

At Open weight (self-host / free) it undercuts Claude Sonnet 4.5, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

Claude Sonnet 4.5

Larger 200K window fits more in one prompt.

A team with data-privacy or self-hosting needs

gpt-oss-120b

Open weights let you run it on your own hardware; Claude Sonnet 4.5 is API-only.

Anyone whose priority is agentic coding — 77.2% on swe-bench verified, the best score any model had posted at its launch

Claude Sonnet 4.5

It is specifically built for that.

Anyone whose priority is self-hostable on a single 80gb h100 gpu via mxfp4

gpt-oss-120b

That is its strongest area.

Claude Sonnet 4.5: where it fits

September 2025's coding state of the art at $3/$15 — still supported, but 200K-capped and twice superseded. Released September 29, 2025 by Anthropic, it is built for agentic coding — 77.2% on SWE-Bench Verified, the best score any model had posted at its launch, computer use and GUI automation (61.4% OSWorld at launch), long-horizon autonomy — Anthropic reported 30+ hours of sustained focus on multi-step tasks, and tracking its own remaining token budget natively, which few models do.

Its trade-offs are real: superseded twice — Sonnet 4.6 and Sonnet 5 match or beat it at the same or lower price, capped at 200K since Anthropic retired its 1M beta in April 2026, while its successors ship 1M as standard, and missing the modern API surface: no adaptive thinking, no effort control, and half the max output of newer Sonnets. At $3 in / $15 out per million tokens, it sits in the mid price band.

gpt-oss-120b: where it fits

OpenAI's open-weight 117B-parameter MoE reasoning model (5.1B active) that runs on a single 80GB GPU and approaches o4-mini on reasoning, coding, and tool use. Released August 5, 2025 by OpenAI, it is built for self-hostable on a single 80GB H100 GPU via MXFP4, configurable reasoning depth (low/medium/high), agentic tool use, function calling, and code execution, and full chain-of-thought visibility for debugging.

Its trade-offs: text-only, no image, audio, or video input, and 131K context and 5.1B active params trail the largest frontier closed models. As an open-weight model, its running cost is your own hardware rather than a per-token fee.

The bottom line for this matchup

The defining split here is open vs. closed. gpt-oss-120b gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Claude Sonnet 4.5 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.

Want both Claude Sonnet 4.5 and gpt-oss-120b without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Claude Sonnet 4.5 or gpt-oss-120b better for coding?

On SWE-Bench Verified, Claude Sonnet 4.5 scores 77.2% and gpt-oss-120b scores 62.4% — Claude Sonnet 4.5 has the measurable edge.

Which is cheaper, Claude Sonnet 4.5 or gpt-oss-120b?

gpt-oss-120b is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Claude Sonnet 4.5 is API-metered at $3/$15 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.

Which has the bigger context window?

Claude Sonnet 4.5 — 200K vs 131K, about 1.5× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Claude Sonnet 4.5 and gpt-oss-120b together?

Yes — a multi-model platform like LumiChats gives you Claude Sonnet 4.5, gpt-oss-120b and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Claude Sonnet 4.5 or gpt-oss-120b?

Claude Sonnet 4.5 — released September 29, 2025, about 55 days after gpt-oss-120b.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.