Gemma 4 E4B IT vs Qwen3.5 Flash vs Step 3.5 Flash 2603
Qwen3.5 Flash comes out ahead, 79 to 76 and 62 on our weighted score, though Gemma 4 E4B IT is 31% cheaper per token.
GoogleGemma 4 E4B IT
76/100- ECI—
- Price$0.11 / $0.15
- Context131K
- Our pick
Alibaba (Qwen)Qwen3.5 Flash
79/100- ECI144.0
- Price$0.10 / $0.40
- Context1M
StepFunStep 3.5 Flash 2603
62/100- ECI—
- Price$0.10 / $0.30
- Context256K
Qwen3.5 Flash is our pick
Qwen3.5 Flash is the better all-round choice, scoring 79/100 against Gemma 4 E4B IT (76) and Step 3.5 Flash 2603 (62). It leads on context window. Gemma 4 E4B IT wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGemma 4 E4B ITGemma 4 E4B IT $0.12 · Step 3.5 Flash 2603 $0.15 · Qwen3.5 Flash $0.175 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 FlashQwen3.5 Flash 1,000,000 · Step 3.5 Flash 2603 256,000 · Gemma 4 E4B IT 131,072 tokens
- Widest inputsGemma 4 E4B IT and Qwen3.5 FlashGemma 4 E4B IT: Text, Images, Audio · Qwen3.5 Flash: Text, Images, Video · Step 3.5 Flash 2603: Text
- Self-hostingGemma 4 E4B IT and Step 3.5 Flash 2603Publishes downloadable weights
| Measure | Weight | Gemma 4 E4B IT | Qwen3.5 Flash | Step 3.5 Flash 2603 |
|---|---|---|---|---|
| Price | 50% | 94 | 86 | 89 |
| Inputs & features | 30% | 80 | 80 | 35 |
| Context window | 20% | 24 | 60 | 36 |
| Overall | 100% | 76/100 | 79/100 | 62/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 4 E4B ITGoogle | Qwen3.5 FlashAlibaba (Qwen) | Step 3.5 Flash 2603StepFun |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 144.0 | — |
| ECI rank | — | #82 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 82.3% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 18.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 84.4% | — |
| SimpleQA VerifiedShort factual questions | — | 20.3% | — |
| Price per million tokens | |||
| Input | $0.11 | $0.10 (best) | $0.10 (best) |
| Output | $0.15 (best) | $0.40 | $0.30 |
| Cached input | — | $0.01 (best) | $0.02 |
| Blended (3:1) | $0.12 (best) | $0.175 | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Alibaba API | Official StepFun (Global) API |
| Limits | |||
| Context window | 131,072 tokens | 1,000,000 tokens (best) | 256,000 tokens |
| Max output | 8,192 tokens | 65,536 tokens | 256,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yeslow · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | — | qwen3.5-flash | step-3.5-flash-2603 |
| API providers | 2 | 8 (best) | 3 |
| Released | Apr 2, 2026 | Feb 23, 2026 | Apr 2, 2026 |
| Knowledge cutoff | — | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemma 4 E4B IT$1.40
- Qwen3.5 Flash$1.80
- Step 3.5 Flash 2603$1.60
Which should you choose?
Which is better: Gemma 4 E4B IT, Qwen3.5 Flash or Step 3.5 Flash 2603?
Qwen3.5 Flash is the better all-round choice, scoring 79/100 against Gemma 4 E4B IT (76) and Step 3.5 Flash 2603 (62). It leads on context window. Gemma 4 E4B IT wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemma 4 E4B IT, Qwen3.5 Flash or Step 3.5 Flash 2603?
Gemma 4 E4B IT is cheaper at $0.11 input / $0.15 output per million tokens (median across 2 API providers). Step 3.5 Flash 2603 costs $0.10 input / $0.30 output per million tokens (official StepFun (Global) API price); Qwen3.5 Flash costs $0.10 input / $0.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.12 per million tokens for Gemma 4 E4B IT versus $0.15 for Step 3.5 Flash 2603 (1.3× as much) and $0.175 for Qwen3.5 Flash (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 4 E4B IT has not been scored yet, Qwen3.5 Flash has an ECI of 144.0 and Step 3.5 Flash 2603 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 E4B IT, Qwen3.5 Flash and Step 3.5 Flash 2603 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3.5 Flash has the largest context window at 1,000,000 tokens, against 256,000 for Step 3.5 Flash 2603 and 131,072 for Gemma 4 E4B IT. Maximum output per response: Gemma 4 E4B IT up to 8,192, Qwen3.5 Flash up to 65,536, Step 3.5 Flash 2603 up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 E4B IT accepts text, images and audio; Qwen3.5 Flash accepts text, images and video; Step 3.5 Flash 2603 accepts text. Gemma 4 E4B IT handles the widest range of inputs.
Are any of these open source?
Gemma 4 E4B IT and Step 3.5 Flash 2603 publishes its weights and can be self-hosted; Qwen3.5 Flash is proprietary.
Which is newer?
Gemma 4 E4B IT is the newest, released Apr 2, 2026. Step 3.5 Flash 2603 came out Apr 2, 2026; Qwen3.5 Flash came out Feb 23, 2026. Knowledge cutoff: Step 3.5 Flash 2603 Jan 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
