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gpt-oss-120b vs Ling 3.0 Flash Fin (free)

gpt-oss-120b

OpenAI

40#202
vs
Ling 3.0 Flash Fin (free)

inclusionai

40#203
Signal-by-Signal Comparison
Signalgpt-oss-120bDeltaLing 3.0 Flash Fin (free)
Capabilities
67
+17
50
Benchmarks
46
+46
0
Pricing
100
0
100
Context window size
81
-5
86
Recency
62
-38
100
Output Capacity
81
+9
72
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (28 data points)
gpt-oss-120bLing 3.0 Flash Fin (free)
gpt-oss-120b

40.4

current score

Leader

gpt-oss-120b

right now

Ling 3.0 Flash Fin (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

Ling 3.0 Flash Fin (free)

inclusionai

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

Ling 3.0 Flash Fin (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 Ling 3.0 Flash Fin (free) for cost optimization

gpt-oss-120b pricing:
Input:$0.04/M tokens
Output:$0.17/M tokens
Ling 3.0 Flash Fin (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
gpt-oss-120b

OpenAI

40

Composite Score

Ling 3.0 Flash Fin (free)

inclusionai

40

Composite Score

Signal-by-Signal Comparison
Metricgpt-oss-120bLing 3.0 Flash Fin (free)Winner
Overall Score
40
40
gpt-oss-120b
Rank#202#203
gpt-oss-120b
Quality Rank#202#203
gpt-oss-120b
Adoption Rank#202#203
gpt-oss-120b
Parameters120B----
Context Window131K262K
Ling 3.0 Flash Fin (free)
Pricing$0.04/$0.17/MFree--
Signal Scores
Capabilities
67
50
gpt-oss-120b
Benchmarks
46
--
gpt-oss-120b
Pricing
100
100
Ling 3.0 Flash Fin (free)
Context window size
81
86
Ling 3.0 Flash Fin (free)
Recency
62
100
Ling 3.0 Flash Fin (free)
Output Capacity
81
72
gpt-oss-120b
Benchmark Head-to-Head(2 benchmarks)
gpt-oss-120b: 0Ling 3.0: 0
gpt-oss-120b
Ling 3.0
Normalized 0-100%
SWE-bench Verified
26%-
Arena Elo
1352-
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 40/100 (rank #202), placing it in the top 31% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ling 3.0 Flash Fin (free)Entry Level

Scores 40/100 (rank #203), placing it in the top 30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 Ling 3.0 Flash Fin (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
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
Ling 3.0 Flash Fin (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
Ling 3.0 Flash Fin (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. Ling 3.0 Flash Fin (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

Ling 3.0 Flash Fin (free)

Batch data extraction

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

Ling 3.0 Flash Fin (free)

Creative writing & content

Higher overall composite score (40/100) 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 Ling 3.0 Flash Fin (free) are extremely close in overall performance (only 0.3999999999999986 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 inclusionai

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
Capabilitygpt-oss-120bLing 3.0 Flash Fin (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

Ling 3.0 Flash Fin (free)

inclusionai

Best Value
$0.000000
estimated monthly cost

Ling 3.0 Flash Fin (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-120bLing 3.0 Flash Fin (free)
Context Window131K262K
Max Output Tokens117,96432,768
Open SourceYesNo
CreatedAug 5, 2025Aug 27, 2026
Last updated: 13m ago

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gpt-oss-120b vs Ling 3.0 Flash Fin (free) (2026) | LM Market Cap