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gpt-oss-120b vs Laguna S 2.1 (free)

gpt-oss-120b

OpenAI

41#183
vs
Laguna S 2.1 (free)

poolside

40#185
Signal-by-Signal Comparison
Signalgpt-oss-120bDeltaLaguna S 2.1 (free)
Capabilities
67
+17
50
Benchmarks
46
+46
0
Pricing
100
0
100
Context window size
81
-5
86
Recency
69
-31
100
Output Capacity
85
+10
75
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (23 data points)
gpt-oss-120bLaguna S 2.1 (free)
gpt-oss-120b

40.5

current score

Leader

gpt-oss-120b

right now

Laguna S 2.1 (free)

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

gpt-oss-120b

OpenAI

Per request$0.000122
Daily$0.41
Monthly$12.20
Annual$146.40

Laguna S 2.1 (free)

poolside

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Laguna S 2.1 (free) saves you $12.20/month

That's $146.40/year compared to gpt-oss-120b at your current usage level of 100K calls/month.

100% cheaper
Choose Laguna S 2.1 (free) for cost optimization

gpt-oss-120b pricing:
Input:$0.04/M tokens
Output:$0.17/M tokens
Laguna S 2.1 (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
gpt-oss-120b

OpenAI

41

Composite Score

Laguna S 2.1 (free)

poolside

40

Composite Score

Signal-by-Signal Comparison
Metricgpt-oss-120bLaguna S 2.1 (free)Winner
Overall Score
41
40
gpt-oss-120b
Rank#183#185
gpt-oss-120b
Quality Rank#183#185
gpt-oss-120b
Adoption Rank#183#185
gpt-oss-120b
Parameters120B----
Context Window131K262K
Laguna S 2.1 (free)
Pricing$0.04/$0.17/MFree--
Signal Scores
Capabilities
67
50
gpt-oss-120b
Benchmarks
46
--
gpt-oss-120b
Pricing
100
100
Laguna S 2.1 (free)
Context window size
81
86
Laguna S 2.1 (free)
Recency
69
100
Laguna S 2.1 (free)
Output Capacity
85
75
gpt-oss-120b
Benchmark Head-to-Head(2 benchmarks)
gpt-oss-120b: 0Laguna S: 0
gpt-oss-120b
Laguna S
Normalized 0-100%
SWE-bench Verified
26%-
Arena Elo
1353-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

gpt-oss-120bEntry Level

Scores 41/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Laguna S 2.1 (free)Entry Level

Scores 40/100 (rank #185), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose gpt-oss-120b when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Laguna S 2.1 (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (262K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
gpt-oss-120b
Input cost$0.04/M tokens
Output cost$0.17/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$3.10
Laguna S 2.1 (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
gpt-oss-120bFaster
Speed score0/100
Laguna S 2.1 (free)
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

gpt-oss-120b

Customer support chatbot

Suitable for user-facing chat with competitive response times. Laguna S 2.1 (free) also offers lower per-token costs for high-volume support

gpt-oss-120b

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Laguna S 2.1 (free)

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Laguna S 2.1 (free)

Creative writing & content

Higher overall composite score (41/100) correlates with better nuance, coherence, and style in long-form content

gpt-oss-120b
Which Should You Choose?
Our recommendation:
gpt-oss-120b

gpt-oss-120b and Laguna S 2.1 (free) are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

gpt-oss-120b
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by poolside

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
Capabilitygpt-oss-120bLaguna S 2.1 (free)
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

gpt-oss-120b

OpenAI

$0.2706
estimated monthly cost

Laguna S 2.1 (free)

poolside

Best Value
$0.000000
estimated monthly cost

Laguna S 2.1 (free) saves you $0.2706/month

That's 100% cheaper than gpt-oss-120b at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
Parametergpt-oss-120bLaguna S 2.1 (free)
Context Window131K262K
Max Output Tokens131,07232,768
Open SourceYesYes
CreatedAug 5, 2025Jul 21, 2026
Last updated: 2m ago

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gpt-oss-120b vs Laguna S 2.1 (free) (2026) | LM Market Cap