Compare / head-to-head

GPT-6.1 SolvsQwen3.8-Omni-Flash

GPT-6.1 Sol and Qwen3.8-Omni-Flash do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Qwen3.8-Omni-Flash is 24.2x cheaper per token. GPT-6.1 Sol has the larger context window (1.1M tokens).

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

Shared benchmarks
0
no overlap yet
Cheaper per token
Qwen3.8-Omni-Flash
24.2x cheaper, input + output
Larger context
GPT-6.1 Sol
1.1M tokens
Providers
2 providers
OpenAI · Qwen
GPT-6.1 Sol
OpenAI · released 2026-09-29
textvision
Context
1.1M
Max out
128K
Input /1M
$2 ↗
Output /1M
$10 ↗
Cached /1M
$0.1
Scores
0 · 0 core
Qwen3.8-Omni-Flash
Qwen · released 2026-09-17
textvisionaudiovideo
Context
1M
Max out
—
Input /1M
$0.113 ↗
Output /1M
$0.382 ↗
Cached /1M
$0.014
Scores
0 · 0 core
Quality

Benchmark matrix

BenchmarkGPT-6.1 SolQwen3.8-Omni-FlashΔEdge
Reported by both · 0
No public benchmark is reported for both models yet.
Only GPT-6.1 Sol reports · 0
GPT-6.1 Sol reports nothing Qwen3.8-Omni-Flash does not.
Only Qwen3.8-Omni-Flash reports · 0
Qwen3.8-Omni-Flash reports nothing GPT-6.1 Sol does not.
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-6.1 Sol minus Qwen3.8-Omni-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-6.1 SolQwen3.8-Omni-FlashEdge
Context window1.1M tokens1M tokensGPT-6.1 Sol
Max output128K tokens——
Input price / 1M$2 ↗$0.113 ↗Qwen3.8-Omni-Flash
Output price / 1M$10 ↗$0.382 ↗Qwen3.8-Omni-Flash
Cached input / 1M$0.1 ↗$0.014 ↗Qwen3.8-Omni-Flash
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$12$0.495Qwen3.8-Omni-Flash
Modalitiestext · visiontext · vision · audio · videoQwen3.8-Omni-Flash
Released2026-09-292026-09-17—
Cited benchmark scores00—
Reliability

Provider status

All providers →
Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run GPT-6.1 Sol and Qwen3.8-Omni-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.