ERNIE 4.5 VL 424B A47B vs Mistral Medium 3.1 vs Qwen3 Coder Flash
Too close to call on our weighted score (Qwen3 Coder Flash 51, Mistral Medium 3.1 49, ERNIE 4.5 VL 424B A47B 44). The right pick depends on what you value most.
BaiduERNIE 4.5 VL 424B A47B
44/100- ECI—
- Price$0.42 / $1.25
- Context123K
Mistral AIMistral Medium 3.1
49/100- ECI—
- Price$0.40 / $2.00
- Context131K
Alibaba (Qwen)Qwen3 Coder Flash
51/100- ECI—
- Price$0.30 / $1.50
- Context1M
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3 Coder Flash 51/100, Mistral Medium 3.1 49/100, ERNIE 4.5 VL 424B A47B 44/100), so choose by what matters most for your work: Qwen3 Coder Flash on price and Qwen3 Coder Flash for long inputs. 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 priceQwen3 Coder FlashQwen3 Coder Flash $0.60 · ERNIE 4.5 VL 424B A47B $0.627 · Mistral Medium 3.1 $0.80 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder FlashQwen3 Coder Flash 1,000,000 · Mistral Medium 3.1 131,072 · ERNIE 4.5 VL 424B A47B 123,000 tokens
- Widest inputsMistral Medium 3.1ERNIE 4.5 VL 424B A47B : Text, Images · Mistral Medium 3.1: Text, Images, PDFs · Qwen3 Coder Flash: Text
- Self-hostingERNIE 4.5 VL 424B A47B Publishes downloadable weights
| Measure | Weight | ERNIE 4.5 VL 424B A47B | Mistral Medium 3.1 | Qwen3 Coder Flash |
|---|---|---|---|---|
| Price | 50% | 57 | 52 | 58 |
| Inputs & features | 30% | 35 | 60 | 35 |
| Context window | 20% | 23 | 25 | 60 |
| Overall | 100% | 44/100 | 49/100 | 51/100 |
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 VL 424B A47B Baidu | Mistral Medium 3.1Mistral AI | Qwen3 Coder FlashAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.42 | $0.40 | $0.30 (best) |
| Output | $1.25 (best) | $2.00 | $1.50 |
| Cached input | — | — | $0.06 |
| Blended (3:1) | $0.627 | $0.80 | $0.60 (best) |
| Long-context rate | Same rate | Same rate | Over 32K: $0.50 / $2.50 |
| Price source | Median of 1 providers | Median of 4 providers | Official Alibaba API |
| Limits | |||
| Context window | 123,000 tokens | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 16,000 tokens | 104,857 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | — | qwen3-coder-flash |
| API providers | 1 | 4 | 10 (best) |
| Released | Jun 30, 2025 | Aug 12, 2025 | Jul 28, 2025 |
| Knowledge cutoff | Mar 31, 2025 | Jun 30, 2025 | Apr 2025 |
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 VL 424B A47B $6.70
- Mistral Medium 3.1$8.00
- Qwen3 Coder Flash$6.00
Which should you choose?
Which is better: ERNIE 4.5 VL 424B A47B , Mistral Medium 3.1 or Qwen3 Coder Flash?
It is close. Our weighted score puts them within 2 points (Qwen3 Coder Flash 51/100, Mistral Medium 3.1 49/100, ERNIE 4.5 VL 424B A47B 44/100), so choose by what matters most for your work: Qwen3 Coder Flash on price and Qwen3 Coder Flash for long inputs. 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 VL 424B A47B , Mistral Medium 3.1 or Qwen3 Coder Flash?
Qwen3 Coder Flash is cheaper at $0.30 input / $1.50 output per million tokens (official Alibaba API price). ERNIE 4.5 VL 424B A47B costs $0.42 input / $1.25 output per million tokens (median across 1 API provider); Mistral Medium 3.1 costs $0.40 input / $2.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.60 per million tokens for Qwen3 Coder Flash versus $0.627 for ERNIE 4.5 VL 424B A47B (1× as much) and $0.80 for Mistral Medium 3.1 (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. ERNIE 4.5 VL 424B A47B has not been scored yet, Mistral Medium 3.1 has not been scored yet and Qwen3 Coder Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for ERNIE 4.5 VL 424B A47B , Mistral Medium 3.1 and Qwen3 Coder Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ERNIE 4.5 VL 424B A47B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3 Coder Flash has the largest context window at 1,000,000 tokens, against 131,072 for Mistral Medium 3.1 and 123,000 for ERNIE 4.5 VL 424B A47B . Maximum output per response: ERNIE 4.5 VL 424B A47B up to 16,000, Mistral Medium 3.1 up to 104,857, Qwen3 Coder Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
ERNIE 4.5 VL 424B A47B accepts text and images; Mistral Medium 3.1 accepts text, images and PDFs; Qwen3 Coder Flash accepts text. Mistral Medium 3.1 handles the widest range of inputs.
Are any of these open source?
ERNIE 4.5 VL 424B A47B publishes its weights and can be self-hosted; Mistral Medium 3.1 and Qwen3 Coder Flash is proprietary.
Which is newer?
Mistral Medium 3.1 is the newest, released Aug 12, 2025. Qwen3 Coder Flash came out Jul 28, 2025; ERNIE 4.5 VL 424B A47B came out Jun 30, 2025. Knowledge cutoff: ERNIE 4.5 VL 424B A47B Mar 31, 2025, Mistral Medium 3.1 Jun 30, 2025, Qwen3 Coder Flash Apr 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 Nov 2, 2026.
