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Compare / head-to-head

gpt-oss-120bvsQwen3.7-Flash

gpt-oss-120b and Qwen3.7-Flash split their 2 shared benchmarks evenly. Qwen3.7-Flash has the larger context window (1M tokens).

Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.

Shared benchmarks
1 – 1
even split
Cheaper per token
list price, input + output
Larger context
Qwen3.7-Flash
1M tokens
Provider uptime (30d)
94.2446% · —
OpenAI · Qwen
gpt-oss-120b
OpenAI · released 2025-08-05
text
Context
131K
Max out
131K
Input /1M
Output /1M
Cached /1M
Scores
6 · 5 core
Qwen3.7-Flash
Qwen · released 2026-07-15
textvision
Context
1M
Max out
Input /1M
$0.028
Output /1M
$0.11
Cached /1M
Scores
3 · 3 core
Quality

Benchmark matrix

Benchmarkgpt-oss-120bQwen3.7-FlashΔEdge
Reported by both · 2
GPQA Diamond80.1% 82.3% epoch-2.2 ptQwen3.7-Flash
OTIS Mock AIME 2024-2025 (Epoch AI run)88.9% epoch86.7% epoch+2.2 ptgpt-oss-120b
Only gpt-oss-120b reports · 3
SWE-bench Verified62.4% not reported
AIME 202590% matharenanot reported
LMArena Elo1365.9 not reported
Only Qwen3.7-Flash reports · 1
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported19.3% epoch
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is gpt-oss-120b minus Qwen3.7-Flash in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing

Side by side

Specgpt-oss-120bQwen3.7-FlashEdge
Context window131K tokens1M tokensQwen3.7-Flash
Max output131K tokens
Input price / 1M$0.028
Output price / 1M$0.11
Cached input / 1M
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.138
Modalitiestexttext · visionQwen3.7-Flash
Released2025-08-052026-07-15
Cited benchmark scores63
Reliability

Provider status

All providers
More matchups

gpt-oss-120b vs …

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Qwen3.7-Flash vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run gpt-oss-120b and Qwen3.7-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.