Compare / head-to-head
Gemini 3.5 FlashvsStep 3.7 Flash
Gemini 3.5 Flash and Step 3.7 Flash split their 1 shared benchmark evenly. Gemini 3.5 Flash has the larger context window (1.0M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 0
even split
Cheaper per token
—
list price, input + output
Larger context
Gemini 3.5 Flash
1.0M tokens
Provider uptime (30d)
100% · —
Google · StepFun
Gemini 3.5 Flash
Google · released 2026-05-19
textvisionaudio
Step 3.7 Flash
StepFun · released 2026-05-29
textvision
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 19 · 6 core
Quality
Benchmark matrix
1 shared · 14 only Gemini 3.5 Flash · 18 only Step 3.7 Flash| Benchmark | Gemini 3.5 Flash | Step 3.7 Flash | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| AIME 2026 | 95% ↗matharena ⚠ | 95% ↗matharena ⚠ | 0 | Tie |
| Only Gemini 3.5 Flash reports · 14 | ||||
| GPQA Diamond | 92.8% ↗epoch | not reported | — | — |
| ARC-AGI-2 | 72.1% ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 26.8% ↗epoch | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 62.8% ↗epoch | not reported | — | — |
| GDPVal-AA | 1656 ↗ | not reported | — | — |
| Humanity's Last Exam (full set, text + MM) | 40.2% ↗ | not reported | — | — |
| MCP Atlas | 83.6% ↗ | not reported | — | — |
| MMMU-Pro | 83.6% ↗ | not reported | — | — |
| OSWorld-Verified | 78.4% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 95.6% ↗epoch | not reported | — | — |
| SimpleQA Verified | 66.2% ↗epoch | not reported | — | — |
| SWE-Bench Pro (Public) | 55.1% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 79.3% ↗epoch | not reported | — | — |
| Terminal-bench 2.1 | 76.2% ↗ | not reported | — | — |
| Only Step 3.7 Flash reports · 18 | ||||
| SWE-bench Verified | not reported | 76.5% ↗ | — | — |
| AA-LCR | not reported | 63.9% ↗ | — | — |
| BrowseComp | not reported | 75.8% ↗ | — | — |
| ClawEval v1.1 | not reported | 67.1% ↗ | — | — |
| DeepSearchQA Accuracy | not reported | 81.7% ↗ | — | — |
| DeepSearchQA F1 | not reported | 92.8% ↗ | — | — |
| GDPval-Stirrup | not reported | 1415.8 ↗ | — | — |
| GDPval-Stirrup Intelligence Index | not reported | 45.8 ↗ | — | — |
| HLE (with tools, text-only) | not reported | 49.7% ↗ | — | — |
| HLE (with tools) | not reported | 47.2% ↗ | — | — |
| ResearchRubrics | not reported | 71.7% ↗ | — | — |
| SimpleVQA (with tools) | not reported | 79.2% ↗ | — | — |
| SWE-bench Multilingual | not reported | 72.4% ↗ | — | — |
| SWE-bench Pro | not reported | 56.3% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 59.6% ↗ | — | — |
| Toolathlon | not reported | 49.5% ↗ | — | — |
| V* (with Python) | not reported | 95.3% ↗ | — | — |
| WorldVQA (with visual search) | not reported | 58.1% ↗ | — | — |
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 Gemini 3.5 Flash minus Step 3.7 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
Official pricing pages and model cards| Spec | Gemini 3.5 Flash | Step 3.7 Flash | Edge |
|---|---|---|---|
| Context window | 1.0M tokens | 256K tokens | Gemini 3.5 Flash |
| Max output | 66K tokens | — | — |
| Input price / 1M | $1.5 ↗ | — | — |
| Output price / 1M | $9 ↗ | — | — |
| Cached input / 1M | $0.15 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $10.5 | — | — |
| Modalities | text · vision · audio | text · vision | Gemini 3.5 Flash |
| Released | 2026-05-19 | 2026-05-29 | — |
| Cited benchmark scores | 15 | 19 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Gemini 3.5 Flash vs …
Models sharing the most benchmarksMore matchups
Step 3.7 Flash vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Gemini 3.5 Flash and Step 3.7 Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.