Step 5 Preview vs Kimi K3 vs DeepSeek V4 Pro vs GLM-5.3
The four models side by side
| Step 5 Preview | Kimi K3 | DeepSeek V4 Pro | GLM-5.3 | |
|---|---|---|---|---|
| Maker | StepFun (Shanghai) | Moonshot AI (Beijing) | DeepSeek (Hangzhou) | Z.ai / Zhipu (Beijing) |
| Released | September 20, 2026 | July 27, 2026 (weights) | GA August 13, 2026 | August 14, 2026 |
| Architecture | 600B sparse MoE, ~27B active | Open-weight MoE | MoE, 1M ctx | 743B base, post-trained |
| Context | 1M in / 1M out | Long context | 1M in / 384K out | Long context, thinking mandatory |
| Input modalities | Text, image (60/request), video | Text | Text | Text |
| API price (per MTok) | $1.00 / $2.70 | $3 / $15 (flat) | $0.66 / $1.98 off-peak; $1.32 / $3.96 peak | $1.40 / $4.40 |
| Cached input | 95% discount | — | $0.022 off-peak | $0.26 |
| Open weights | Promised October 15, 2026 | Yes | Yes | Staged, not shipped at launch |
| AA measured cost per task | $0.71 | ~$2 (K3 Max) | — | — |
Verified September 20, 2026 against StepFun’s platform docs, Artificial Analysis and the vendors’ pricing pages. Two caveats before quoting: DeepSeek prices double during its peak windows, and Artificial Analysis re-versioned its Intelligence Index in September, so scores from August posts are not comparable with the new 44-point Step 5 number.
What Step 5 Preview actually is
StepFun announced Step 5 Preview on September 20, 2026 and opened its API the same day. The company describes it as “StepFun’s frontier model for production-scale Agent applications,” aimed at programming and professional knowledge work.
The headline specs from StepFun’s own documentation:
- 600B total parameters, sparse mixture-of-experts, roughly 27B active per token.
- 1M-token context window, with both maximum input and maximum output listed at 1M tokens.
- Native text, image and video input. Up to 60 images per request (
loworhighdetail), and MP4/QuickTime/Matroska video under 128 MB, ideally under five minutes. - Model ID
step-5-preview; OpenAI-compatible chat API.
Pricing is $1.00 per million input tokens and $2.70 per million output tokens, and cached input is discounted 95%. Artificial Analysis calculated a blended $0.51 per million tokens at a 7:2:1 cache-hit/input/output ratio, which made StepFun the cheapest provider of its own model.
On Artificial Analysis’s Intelligence Index, Step 5 Preview scored 44, matching Kimi K3 Max, with an output speed of about 100 tokens per second and a measured $0.71 to run the full evaluation versus roughly $2 for Kimi K3 Max. StepFun’s own demos emphasise long-horizon autonomy: it reports the model optimising H100 GPU kernels unattended for 24 hours to reach 508 TFLOPS.
The open-weights caveat is important. StepFun says the full weights ship on October 15, 2026. As of September 20 the Hugging Face repository contains only a .gitattributes file, so today Step 5 is a hosted API, not a model you can run.
Kimi K3 — the intelligence leader, at a price
Moonshot’s Kimi K3 shipped open weights on July 27, 2026 and has led the open-weight tier on Artificial Analysis since. Its API price is a flat $3 input / $15 output per million tokens — no peak/off-peak games, but the most expensive output of the four, and more than Claude Sonnet 5 ($10). The “K3 Max” configuration is what Artificial Analysis benchmarked against Step 5 at 44 points; it consumed about 2.8x more money to finish the same evaluation.
Choose K3 when you want the highest-capability weights you can self-host and the token bill is not the constraint. See the Kimi K3 local hardware guide.
DeepSeek V4 Pro — the price floor with a schedule
DeepSeek V4 Pro reached GA on August 13, 2026 with 1M context and 384K maximum output. On August 16 DeepSeek moved to peak/off-peak pricing: $0.66 / $1.98 off-peak and exactly double, $1.32 / $3.96, during peak (01:00–04:00 and 06:00–10:00 UTC). Cache hits are $0.022 per million off-peak. For US and European working hours you mostly land off-peak; Asia-Pacific business hours mostly land in peak.
Choose V4 Pro when you can batch work into off-peak windows and want open weights with a 1M context. Do not quote a single flat V4 price — there isn’t one.
GLM-5.3 — the coding-agent specialist
Z.ai’s GLM-5.3 (August 14, 2026) is the same 743B base as GLM-5.2 with new post-training, priced at $1.40 / $4.40 per million tokens with $0.26 cached input. Thinking mode is mandatory. The $18/month Coding Plan and 50% off-peak points (outside 14:00–18:00 UTC+8 weekdays) make it the cheapest way to run a Chinese frontier model inside Claude Code-style agents. Open weights were announced as staged and had not shipped at launch.
Choose GLM-5.3 when the workload is coding agents and you want a subscription rather than per-token metering. See GLM-5.3 vs Opus 5 vs GPT-5.6 Sol for coding.
Head-to-head on the questions developers ask
“Which is cheapest?” List price: DeepSeek V4 Pro off-peak. Measured cost per finished task on Artificial Analysis’s harness: Step 5 Preview at $0.71 is the only one of the four with a published figure this month, and it beat Kimi K3 Max by ~2.8x. Token efficiency, not list price, decided that.
“Which handles the longest documents?” Step 5 Preview and DeepSeek V4 Pro at 1M input. Step 5 uniquely lists 1M output, which matters for agents that write whole repositories or long reports in one pass.
“Which can see images and video?” Only Step 5 Preview, natively. The others are text-only through their first-party APIs.
“Which can I self-host today?” Kimi K3 and DeepSeek V4 Pro. GLM-5.3 and Step 5 are promises for now.
“Which is smartest?” On Artificial Analysis’s current index, Step 5 Preview and Kimi K3 Max tie at 44. Independent numbers for GLM-5.3 and V4 Pro on the re-versioned index were not published as of September 20.
Bottom line
Step 5 Preview is the first Chinese model to combine 1M-context, native video input and sub-$3 output pricing in one API, and it matches Kimi K3 Max on Artificial Analysis’s index at roughly a third of the cost. Until October 15 it is API-only, so teams with a hard self-hosting requirement should stay on Kimi K3 or DeepSeek V4 Pro. For a broader view of the Chinese open-weight race, see DeepSeek vs Moonshot vs Z.ai vs MiniMax.