Llama 3.3 Nemotron Super 49B v1.5 vs Qwen3 235B-A22B Thinking 2507 vs Seed 1.6 Vision
Seed 1.6 Vision comes out ahead, 61 to 48 and 42 on our weighted score, and it is the cheaper option too.
NVIDIALlama 3.3 Nemotron Super 49B v1.5
48/100- ECI—
- Price$0.40 / $0.40
- Context131K
Alibaba (Qwen)Qwen3 235B-A22B Thinking 2507
42/100- ECI143.8
- Price$0.30 / $2.90
- Context262K
- Our pick
ByteDance SeedSeed 1.6 Vision
61/100- ECI—
- Price$0.119 / $1.19
- Context256K
Seed 1.6 Vision is our pick
Seed 1.6 Vision is the better all-round choice, scoring 61/100 against Llama 3.3 Nemotron Super 49B v1.5 (48) and Qwen3 235B-A22B Thinking 2507 (42). It leads on inputs & features. 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 priceSeed 1.6 VisionSeed 1.6 Vision $0.386 · Llama 3.3 Nemotron Super 49B v1.5 $0.40 · Qwen3 235B-A22B Thinking 2507 $0.95 per 1M tokens (3:1 blend)
- Longest contextQwen3 235B-A22B Thinking 2507Qwen3 235B-A22B Thinking 2507 262,144 · Seed 1.6 Vision 256,000 · Llama 3.3 Nemotron Super 49B v1.5 131,072 tokens
- Widest inputsSeed 1.6 VisionLlama 3.3 Nemotron Super 49B v1.5: Text · Qwen3 235B-A22B Thinking 2507: Text · Seed 1.6 Vision: Text, Images
- Self-hostingLlama 3.3 Nemotron Super 49B v1.5 and Qwen3 235B-A22B Thinking 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | Llama 3.3 Nemotron Super 49B v1.5 | Qwen3 235B-A22B Thinking 2507 | Seed 1.6 Vision |
|---|---|---|---|---|
| Price | 50% | 66 | 49 | 67 |
| Inputs & features | 30% | 35 | 35 | 70 |
| Context window | 20% | 25 | 37 | 36 |
| Overall | 100% | 48/100 | 42/100 | 61/100 |
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 | Llama 3.3 Nemotron Super 49B v1.5NVIDIA | Qwen3 235B-A22B Thinking 2507Alibaba (Qwen) | Seed 1.6 VisionByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 143.8 | — |
| ECI rank | — | #93 of 165 | — |
| GPQA DiamondGraduate-level science questions | — | 80.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 86.7% | — |
| SimpleQA VerifiedShort factual questions | — | 40.4% | — |
| Price per million tokens | |||
| Input | $0.40 | $0.30 | $0.119 (best) |
| Output | $0.40 (best) | $2.90 | $1.19 |
| Cached input | — | — | $0.024 |
| Blended (3:1) | $0.40 | $0.95 | $0.386 (best) |
| Long-context rate | Same rate | Same rate | Over 32K: $0.178 / $2.37 |
| Price source | Median of 1 providers | Median of 11 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens (best) | 256,000 tokens |
| Max output | 131,072 tokens (best) | 81,920 tokens | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | OpenApache 2.0 | Proprietary |
| API model ID | — | — | doubao-seed-1-6-vision-250815 |
| API providers | 1 | 12 (best) | 2 |
| Released | Jul 25, 2025 | Jul 25, 2025 | Aug 15, 2025 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama 3.3 Nemotron Super 49B v1.5$4.80
- Qwen3 235B-A22B Thinking 2507$8.80
- Seed 1.6 Vision$3.56
Which should you choose?
Which is better: Llama 3.3 Nemotron Super 49B v1.5, Qwen3 235B-A22B Thinking 2507 or Seed 1.6 Vision?
Seed 1.6 Vision is the better all-round choice, scoring 61/100 against Llama 3.3 Nemotron Super 49B v1.5 (48) and Qwen3 235B-A22B Thinking 2507 (42). It leads on inputs & features. 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, Llama 3.3 Nemotron Super 49B v1.5, Qwen3 235B-A22B Thinking 2507 or Seed 1.6 Vision?
Seed 1.6 Vision is cheaper at $0.119 input / $1.19 output per million tokens (official Volcengine Ark API price). Llama 3.3 Nemotron Super 49B v1.5 costs $0.40 input / $0.40 output per million tokens (median across 1 API provider); Qwen3 235B-A22B Thinking 2507 costs $0.30 input / $2.90 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.386 per million tokens for Seed 1.6 Vision versus $0.40 for Llama 3.3 Nemotron Super 49B v1.5 (1× as much) and $0.95 for Qwen3 235B-A22B Thinking 2507 (2.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet, Qwen3 235B-A22B Thinking 2507 has an ECI of 143.8 and Seed 1.6 Vision has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.3 Nemotron Super 49B v1.5, Qwen3 235B-A22B Thinking 2507 and Seed 1.6 Vision 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 235B-A22B Thinking 2507 has the largest context window at 262,144 tokens, against 256,000 for Seed 1.6 Vision and 131,072 for Llama 3.3 Nemotron Super 49B v1.5. Maximum output per response: Llama 3.3 Nemotron Super 49B v1.5 up to 131,072, Qwen3 235B-A22B Thinking 2507 up to 81,920, Seed 1.6 Vision up to 32,000 tokens.
Which can read images, PDFs, audio or video?
Llama 3.3 Nemotron Super 49B v1.5 accepts text; Qwen3 235B-A22B Thinking 2507 accepts text; Seed 1.6 Vision accepts text and images. Seed 1.6 Vision handles the widest range of inputs.
Are any of these open source?
Llama 3.3 Nemotron Super 49B v1.5 and Qwen3 235B-A22B Thinking 2507 publishes its weights (Apache 2.0) and can be self-hosted; Seed 1.6 Vision is proprietary.
Which is newer?
Seed 1.6 Vision is the newest, released Aug 15, 2025. Llama 3.3 Nemotron Super 49B v1.5 came out Jul 25, 2025; Qwen3 235B-A22B Thinking 2507 came out Jul 25, 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.
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