DeepSeek V4 Flash vs Gemma 4 26B A4B IT vs Qwen3.7 Flash
Qwen3.7 Flash comes out ahead, 79 to 71 and 70 on our weighted score, and it is the cheaper option too.
DeepSeekDeepSeek V4 Flash
71/100- ECI146.1
- Price$0.14 / $0.28
- Context1M
GoogleGemma 4 26B A4B IT
70/100- ECI141.9
- Price$0.10 / $0.38
- Context262K
- Our pick
Alibaba (Qwen)Qwen3.7 Flash
79/100- ECI144.6
- Price$0.03 / $0.13
- Context1M
Qwen3.7 Flash is our pick
Qwen3.7 Flash is the better all-round choice, scoring 79/100 against DeepSeek V4 Flash (71) and Gemma 4 26B A4B IT (70). It leads on price and inputs & features. DeepSeek V4 Flash wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityDeepSeek V4 FlashCapabilities Index (ECI): DeepSeek V4 Flash 146.1 · Qwen3.7 Flash 144.6 · Gemma 4 26B A4B IT 141.9
- Lowest priceQwen3.7 FlashQwen3.7 Flash $0.055 · Gemma 4 26B A4B IT $0.17 · DeepSeek V4 Flash $0.175 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V4 Flash and Qwen3.7 FlashDeepSeek V4 Flash 1,000,000 · Qwen3.7 Flash 1,000,000 · Gemma 4 26B A4B IT 262,144 tokens
- Widest inputsQwen3.7 FlashDeepSeek V4 Flash: Text · Gemma 4 26B A4B IT: Text, Images · Qwen3.7 Flash: Text, Images, Video
- Self-hostingDeepSeek V4 Flash and Gemma 4 26B A4B ITPublishes downloadable weights
| Measure | Weight | DeepSeek V4 Flash | Gemma 4 26B A4B IT | Qwen3.7 Flash |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 68 | 71 |
| Price | 25% | 86 | 86 | 100 |
| Inputs & features | 15% | 45 | 70 | 80 |
| Context window | 10% | 60 | 37 | 60 |
| Overall | 100% | 71/100 | 70/100 | 79/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek V4 FlashDeepSeek | Gemma 4 26B A4B ITGoogle | Qwen3.7 FlashAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 146.1 (best) | 141.9 | 144.6 |
| ECI rank | #71 of 148 (best) | #93 of 148 | #80 of 148 |
| GPQA DiamondGraduate-level science questions | — | 73.2% | 82.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 19.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 82.2% | 86.7% (best) |
| Price per million tokens | |||
| Input | $0.14 | $0.10 | $0.03 (best) |
| Output | $0.28 | $0.38 | $0.13 (best) |
| Cached input | — | — | $0.003 |
| Blended (3:1) | $0.175 | $0.17 | $0.055 (best) |
| Long-context rate | Same rate | Same rate | Over 32K: $0.10 / $0.40 |
| Price source | Median of 42 providers | Median of 23 providers | Official Alibaba API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 262,144 tokens | 1,000,000 tokens (best) |
| Max output | 384,000 tokens (best) | 32,768 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | gemma-4-26b-a4b-it | qwen3.7-flash |
| API providers | 48 (best) | 26 | 12 |
| Released | Apr 24, 2026 | Apr 2, 2026 | Jul 15, 2026 |
| Knowledge cutoff | May 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek V4 Flash$1.96
- Gemma 4 26B A4B IT$1.76
- Qwen3.7 Flash$0.56
Which should you choose?
Which is better: DeepSeek V4 Flash, Gemma 4 26B A4B IT or Qwen3.7 Flash?
Qwen3.7 Flash is the better all-round choice, scoring 79/100 against DeepSeek V4 Flash (71) and Gemma 4 26B A4B IT (70). It leads on price and inputs & features. DeepSeek V4 Flash wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, DeepSeek V4 Flash, Gemma 4 26B A4B IT or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper at $0.03 input / $0.13 output per million tokens (official Alibaba API price). Gemma 4 26B A4B IT costs $0.10 input / $0.38 output per million tokens (median across 23 API providers); DeepSeek V4 Flash costs $0.14 input / $0.28 output per million tokens (median across 42 API providers). At a typical mix of three input tokens to one output token, that is $0.055 per million tokens for Qwen3.7 Flash versus $0.17 for Gemma 4 26B A4B IT (3.1× as much) and $0.175 for DeepSeek V4 Flash (3.2× as much).
Which scores higher on benchmarks?
DeepSeek V4 Flash scores higher on the Capabilities Index (ECI): DeepSeek V4 Flash 146.1 (#71 of 148), Qwen3.7 Flash 144.6 (#80 of 148) and Gemma 4 26B A4B IT 141.9 (#93 of 148). The confidence ranges of the top two overlap (143.6–147.9 vs 142.4–147.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek V4 Flash, Gemma 4 26B A4B IT and Qwen3.7 Flash yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
DeepSeek V4 Flash and Qwen3.7 Flash have the largest context windows (1,000,000 and 1,000,000 tokens), against 262,144 for Gemma 4 26B A4B IT. Maximum output per response: DeepSeek V4 Flash up to 384,000, Gemma 4 26B A4B IT up to 32,768, Qwen3.7 Flash up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek V4 Flash accepts text; Gemma 4 26B A4B IT accepts text and images; Qwen3.7 Flash accepts text, images and video. Qwen3.7 Flash handles the widest range of inputs.
Are any of these open source?
DeepSeek V4 Flash and Gemma 4 26B A4B IT publishes its weights and can be self-hosted; Qwen3.7 Flash is proprietary.
Which is newer?
Qwen3.7 Flash is the newest, released Jul 15, 2026. DeepSeek V4 Flash came out Apr 24, 2026; Gemma 4 26B A4B IT came out Apr 2, 2026. Knowledge cutoff: DeepSeek V4 Flash May 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.
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