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ModelCap

Head-to-head comparison

Qwen3 30B A3B Instruct 2507 vs Step 3.7 Flash

Qwen3 30B A3B Instruct 2507 (Qwen) and Step 3.7 Flash (StepFun) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 15 September 2026

As of 15 September 2026, Step 3.7 Flash holds the stronger ModelCap Index position (#97 vs #100); and Qwen3 30B A3B Instruct 2507 is 6× cheaper per output token ($0.193/1M vs $1.15/1M).

Which should you choose?

Choose Qwen3 30B A3B Instruct 2507 if…

  • API cost matters — $0.193/1M output tokens against $1.15/1M, about 6× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.048/1M against $0.20/1M.
  • you want provider choice — 5 listed API providers against 3.

Choose Step 3.7 Flash if…

  • you want the stronger overall ModelCap Index position — #97 against #100 (47.7 vs 45.0 points).
  • you want the more recently listed model — Step 3.7 Flash was listed 28 May 2026, Qwen3 30B A3B Instruct 2507 29 July 2025.

Qwen3 30B A3B Instruct 2507 vs Step 3.7 Flash: specs, pricing and context

Specification comparison of Qwen3 30B A3B Instruct 2507 and Step 3.7 Flash
FieldQwen3 30B A3B Instruct 2507QwenStep 3.7 FlashStepFun
ModelCap Index position#100#97
Index score45.047.7
EvidenceMeasuredEstimated
Input price / 1M tokens$0.048$0.20
Output price / 1M tokens$0.193$1.15
Context window262K tokens262K tokens
Max output tokens32K230K
API providers listed53
Weight accessOpen weightsOpen weights
Input modalitiesTextText, Image, Video
First listed29 July 202528 May 2026
PublisherQwenStepFun

Evidence: 2 public benchmark observations across 2 boards · 3 reported rows against measured corpus ladders (11%); global-corpus-prior over 194 held-out anchors (20%); measured predecessor stepfun/step-3.5-flash less the succession penalty (69%); shrunk 1.1 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Qwen3 30B A3B Instruct 2507 vs Step 3.7 Flash

Public benchmark boards where Qwen3 30B A3B Instruct 2507 or Step 3.7 Flash has a published result
BoardQwen3 30B A3B Instruct 2507Step 3.7 FlashLeads
Arena codingArena (LMArena)14391430–1448Only one result
BFCL V4UC Berkeley (Gorilla)41.4Function callingOnly one result
AA τ²-Bench TelecomArtificial Analysis98.5%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Step 3.7 Flash":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis21.4%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Step 3.7 Flash":reasoning=trueOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Qwen3 30B A3B Instruct 2507 vs Step 3.7 Flash: common questions

Is Qwen3 30B A3B Instruct 2507 better than Step 3.7 Flash?

Step 3.7 Flash ranks higher on the ModelCap Index as of 15 September 2026: #97 against #100. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Qwen3 30B A3B Instruct 2507 cheaper than Step 3.7 Flash?

Qwen3 30B A3B Instruct 2507 is cheaper on output tokens: $0.193/1M against $1.15/1M. Input tokens are $0.048/1M for Qwen3 30B A3B Instruct 2507 and $0.20/1M for Step 3.7 Flash. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.19 for Qwen3 30B A3B Instruct 2507 versus $0.97 for Step 3.7 Flash. Qwen3 30B A3B Instruct 2507 costs 80.2% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Qwen3 30B A3B Instruct 2507 or Step 3.7 Flash?

Both publish a 262K-token context window.

Which is better for coding, Qwen3 30B A3B Instruct 2507 or Step 3.7 Flash?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Qwen3 30B A3B Instruct 2507 and Step 3.7 Flash open-weight models?

Qwen3 30B A3B Instruct 2507: Open weights. Step 3.7 Flash: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Qwen3 30B A3B Instruct 2507 and Step 3.7 Flash?

ModelCap currently lists 5 API providers for Qwen3 30B A3B Instruct 2507 and 3 for Step 3.7 Flash, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Qwen3 30B A3B Instruct 2507 vs Step 3.7 Flash comparison?

Every figure comes from the sealed ModelCap dataset published 15 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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