ERNIE 4.5 21B A3B vs Granite-4.0-H-Small vs Qwen Flash
Qwen Flash comes out ahead, 69 to 61 and 57 on our weighted score, though Granite-4.0-H-Small is 17% cheaper per token.
BaiduERNIE 4.5 21B A3B
57/100- ECI—
- Price$0.07 / $0.28
- Context131K
IBMGranite-4.0-H-Small
61/100- ECI—
- Price$0.064 / $0.265
- Context131K
- Our pick
Alibaba (Qwen)Qwen Flash
69/100- ECI—
- Price$0.05 / $0.40
- Context1M
Qwen Flash is our pick
Qwen Flash is the better all-round choice, scoring 69/100 against Granite-4.0-H-Small (61) and ERNIE 4.5 21B A3B (57). It leads on inputs & features and context window. 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 priceGranite-4.0-H-SmallGranite-4.0-H-Small $0.114 · ERNIE 4.5 21B A3B $0.122 · Qwen Flash $0.138 per 1M tokens (3:1 blend)
- Longest contextQwen FlashQwen Flash 1,000,000 · ERNIE 4.5 21B A3B 131,072 · Granite-4.0-H-Small 131,072 tokens
- Widest inputsSame inputsERNIE 4.5 21B A3B: Text · Granite-4.0-H-Small: Text · Qwen Flash: Text
- Self-hostingERNIE 4.5 21B A3B and Granite-4.0-H-SmallPublishes downloadable weights (Apache-2.0)
| Measure | Weight | ERNIE 4.5 21B A3B | Granite-4.0-H-Small | Qwen Flash |
|---|---|---|---|---|
| Price | 50% | 89 | 91 | 87 |
| Inputs & features | 30% | 25 | 35 | 45 |
| Context window | 20% | 25 | 25 | 60 |
| Overall | 100% | 57/100 | 61/100 | 69/100 |
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 | ERNIE 4.5 21B A3BBaidu | Granite-4.0-H-SmallIBM | Qwen FlashAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.07 | $0.064 | $0.05 (best) |
| Output | $0.28 | $0.265 (best) | $0.40 |
| Cached input | — | — | $0.01 |
| Blended (3:1) | $0.122 | $0.114 (best) | $0.138 |
| Long-context rate | Same rate | Same rate | Over 256K: $0.25 / $2.00 |
| Price source | Median of 1 providers | Official watsonx.ai API | Official Alibaba API |
| Limits | |||
| Context window | 131,072 tokens | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 8,000 tokens | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | OpenApache-2.0 | Open | Proprietary |
| API model ID | — | ibm/granite-4-h-small | qwen-flash |
| API providers | 1 | 1 | 6 (best) |
| Released | Jun 30, 2025 | Oct 2, 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | — | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- ERNIE 4.5 21B A3B$1.26
- Granite-4.0-H-Small$1.17
- Qwen Flash$1.30
Which should you choose?
Which is better: ERNIE 4.5 21B A3B, Granite-4.0-H-Small or Qwen Flash?
Qwen Flash is the better all-round choice, scoring 69/100 against Granite-4.0-H-Small (61) and ERNIE 4.5 21B A3B (57). It leads on inputs & features and context window. 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, ERNIE 4.5 21B A3B, Granite-4.0-H-Small or Qwen Flash?
Granite-4.0-H-Small is cheaper at $0.064 input / $0.265 output per million tokens (official watsonx.ai API price). ERNIE 4.5 21B A3B costs $0.07 input / $0.28 output per million tokens (median across 1 API provider); Qwen Flash costs $0.05 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 $0.114 per million tokens for Granite-4.0-H-Small versus $0.122 for ERNIE 4.5 21B A3B (1.1× as much) and $0.138 for Qwen Flash (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. ERNIE 4.5 21B A3B has not been scored yet, Granite-4.0-H-Small has not been scored yet and Qwen Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for ERNIE 4.5 21B A3B, Granite-4.0-H-Small and Qwen Flash 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?
Qwen Flash has the largest context window at 1,000,000 tokens, against 131,072 for ERNIE 4.5 21B A3B and 131,072 for Granite-4.0-H-Small. Maximum output per response: ERNIE 4.5 21B A3B up to 8,000, Granite-4.0-H-Small up to 131,072, Qwen Flash up to 32,768 tokens.
Which can read images, PDFs, audio or video?
ERNIE 4.5 21B A3B accepts text; Granite-4.0-H-Small accepts text; Qwen Flash accepts text. They handle the same number of input types.
Are any of these open source?
ERNIE 4.5 21B A3B and Granite-4.0-H-Small publishes its weights (Apache-2.0) and can be self-hosted; Qwen Flash is proprietary.
Which is newer?
Granite-4.0-H-Small is the newest, released Oct 2, 2025. Qwen Flash came out Jul 28, 2025; ERNIE 4.5 21B A3B came out Jun 30, 2025. Knowledge cutoff: Qwen Flash Apr 2024.
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 Nov 2, 2026.
