Gemini 2.5 Pro vs Step 5 Preview

Google · US  |  StepFun · China · Updated June 2026

Quick verdict

Pick Gemini 2.5 Pro for 1m context via api or strong multimodal reasoning. Pick Step 5 Preview for sparse moe architecture — 600b total parameters, only 27b active per token — built for long-horizon agentic work across large codebases and documents or 1m-token context window (64k max output) at $1/$2.70 per million tokens, among the cheapest frontier-scale context windows available. On a tight budget at scale, Step 5 Preview is the value pick.

Gemini 2.5 Pro (Google, US) and Step 5 Preview (StepFun, China) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Gemini 2.5 Pro is google's previous-gen 2M flagship — still a strong long-context multimodal option. Step 5 Preview is stepFun's September 20, 2026 flagship preview — a 600B-parameter sparse MoE model (27B active) with a 1M-token context window at $1/$2.70 per million tokens, open weights promised for mid-October. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.

Key differences at a glance

Side-by-side specs

SpecGemini 2.5 ProStep 5 Preview
ProviderGoogle (US) StepFun (China)
ReleasedJune 2025 September 20, 2026
Context window1M (~1,500 pages) 1M tokens (~1,500 pages)
Price (in/out)$1.25/$10 per 1M tokens $1/$2.7 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image, audio, video, code text, image, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

1M context via API

Gemini 2.5 Pro

Gemini 2.5 Pro lists 1M context via API among its strengths; Step 5 Preview does not.

Strong multimodal reasoning

Gemini 2.5 Pro

Gemini 2.5 Pro lists strong multimodal reasoning among its strengths; Step 5 Preview does not.

Science and maths benchmarks

Gemini 2.5 Pro

Gemini 2.5 Pro lists science and maths benchmarks among its strengths; Step 5 Preview does not.

Sparse MoE architecture — 600B total parameters, only 27B active per token — built for long-horizon agentic work across large codebases and documents

Step 5 Preview

StepFun's September 20, 2026 flagship preview — a 600B-parameter sparse MoE model (27B active) with a 1M-token context window at $1/$2.70 per million tokens, open weights promised for mid-October — and it runs cheaper at $1/$2.7 per 1M tokens.

1M-token context window (64K max output) at $1/$2.70 per million tokens, among the cheapest frontier-scale context windows available

Step 5 Preview

At $1/$2.7 per 1M tokens it undercuts Gemini 2.5 Pro ($1.25/$10 per 1M tokens), and that gap compounds at volume.

67.7% on DeepSWE v1.1, ahead of open-weight rivals Kimi K3 (67.5%) and GLM-5.3 (66.9%)

Step 5 Preview

StepFun's September 20, 2026 flagship preview — a 600B-parameter sparse MoE model (27B active) with a 1M-token context window at $1/$2.70 per million tokens, open weights promised for mid-October — and it is the newer of the two.

Lowest cost at scale

Step 5 Preview

At $1/$2.7 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Step 5 Preview

At $1/$2.7 per 1M tokens it undercuts Gemini 2.5 Pro, and on millions of tokens that margin decides the monthly bill.

Anyone whose priority is 1m context via api

→ Gemini 2.5 Pro

It is specifically built for that.

Anyone whose priority is sparse moe architecture — 600b total parameters, only 27b active per token — built for long-horizon agentic work across large codebases and documents

→ Step 5 Preview

That is its strongest area.

An enterprise with regional data-residency rules

→ Gemini 2.5 Pro or Step 5 Preview

Origin (US vs China) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

Gemini 2.5 Pro: where it fits

Google's previous-gen 2M flagship — still a strong long-context multimodal option. Released June 2025 by Google, it is built for 1M context via API, strong multimodal reasoning, science and maths benchmarks, and whole-book and video analysis.

Its trade-offs are real: superseded by 3.x for newest features, and recall degrades on very long inputs. At $1.25 in / $10 out per million tokens, it sits in the mid price band.

Step 5 Preview: where it fits

StepFun's September 20, 2026 flagship preview — a 600B-parameter sparse MoE model (27B active) with a 1M-token context window at $1/$2.70 per million tokens, open weights promised for mid-October. Released September 20, 2026 by StepFun, it is built for sparse MoE architecture — 600B total parameters, only 27B active per token — built for long-horizon agentic work across large codebases and documents, 1M-token context window (64K max output) at $1/$2.70 per million tokens, among the cheapest frontier-scale context windows available, 67.7% on DeepSWE v1.1, ahead of open-weight rivals Kimi K3 (67.5%) and GLM-5.3 (66.9%), and scores 44 on the Artificial Analysis Intelligence Index, ranking 27th of 653 models tracked.

Its trade-offs: trails closed frontier models on coding — 67.7% on DeepSWE v1.1 vs GPT-6 Astra's 74.1% and Claude Opus 5's 74.0%, open weights were promised for October 15, 2026 but hadn't shipped as of this writing — API-only for now despite the open-weight roadmap, a 'Preview' release, not StepFun's finished flagship — positioning and pricing may change once weights ship, and stepCodeBench and DeepSWE figures are StepFun's own reported numbers, not yet independently reproduced at scale. At $1 in / $2.7 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

This is less "which is smarter" and more "which ecosystem fits." Gemini 2.5 Pro (US) and Step 5 Preview (China) differ on pricing philosophy, data-residency, and tooling as much as on raw scores. Step 5 Preview is the cheaper option, which matters at volume. The pragmatic move is to run one real task through both and judge the outputs against your own constraints — including where your data is allowed to be processed.

Want both Gemini 2.5 Pro and Step 5 Preview without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Gemini 2.5 Pro or Step 5 Preview better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Gemini 2.5 Pro leans toward 1m context via api while Step 5 Preview leans toward sparse moe architecture — 600b total parameters, only 27b active per token — built for long-horizon agentic work across large codebases and documents, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Gemini 2.5 Pro or Step 5 Preview?

Step 5 Preview is cheaper — $1.25/$10 per 1M tokens vs $1/$2.7 per 1M tokens, roughly 1.3× apart on input.

Which has the bigger context window?

Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both Gemini 2.5 Pro and Step 5 Preview together?

Yes — a multi-model platform like LumiChats gives you Gemini 2.5 Pro, Step 5 Preview and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Gemini 2.5 Pro or Step 5 Preview?

Step 5 Preview — released September 20, 2026, about 16 months after Gemini 2.5 Pro.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.