Command A Translate vs Seed 2.0 Lite vs GPT-5-Codex
Seed 2.0 Lite comes out ahead, 73 to 42 and 17 on our weighted score, and it is the cheaper option too.
CohereCommand A Translate
17/100- ECI—
- Price$2.50 / $10.00
- Context8K
- Our pick
ByteDance SeedSeed 2.0 Lite
73/100- ECI—
- Price$0.089 / $0.534
- Context256K
OpenAIGPT-5-Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
Seed 2.0 Lite is our pick
Seed 2.0 Lite is the better all-round choice, scoring 73/100 against GPT-5-Codex (42) and Command A Translate (17). It leads on price and inputs & features. GPT-5-Codex wins on 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 priceSeed 2.0 LiteSeed 2.0 Lite $0.20 · GPT-5-Codex $3.44 · Command A Translate $4.38 per 1M tokens (3:1 blend)
- Longest contextGPT-5-CodexGPT-5-Codex 400,000 · Seed 2.0 Lite 256,000 · Command A Translate 8,000 tokens
- Widest inputsSeed 2.0 LiteCommand A Translate: Text · Seed 2.0 Lite: Text, Images, Video · GPT-5-Codex: Text, Images
- Self-hostingCommand A TranslatePublishes downloadable weights
| Measure | Weight | Command A Translate | Seed 2.0 Lite | GPT-5-Codex |
|---|---|---|---|---|
| Price | 50% | 19 | 83 | 24 |
| Inputs & features | 30% | 25 | 80 | 70 |
| Context window | 20% | 0 | 36 | 44 |
| Overall | 100% | 17/100 | 73/100 | 42/100 |
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 | Command A TranslateCohere | Seed 2.0 LiteByteDance Seed | GPT-5-CodexOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $0.089 (best) | $1.25 |
| Output | $10.00 | $0.534 (best) | $10.00 |
| Cached input | — | $0.018 | — |
| Blended (3:1) | $4.38 | $0.20 (best) | $3.44 |
| Long-context rate | Same rate | Over 32K: $0.134 / $0.802 | Same rate |
| Price source | Official Cohere API | Official Volcengine Ark API | Median of 3 providers |
| Limits | |||
| Context window | 8,000 tokens | 256,000 tokens | 400,000 tokens (best) |
| Max output | 8,000 tokens | 32,000 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | Yesminimal · low · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | command-a-translate-08-2025 | doubao-seed-2-0-lite-260428 | — |
| API providers | 1 | 6 (best) | 3 |
| Released | Aug 28, 2025 | Feb 14, 2026 | Sep 15, 2025 |
| Knowledge cutoff | Jun 1, 2024 | — | Sep 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command A Translate$45.00
- Seed 2.0 Lite$1.96
- GPT-5-Codex$32.50
Which should you choose?
Which is better: Command A Translate, Seed 2.0 Lite or GPT-5-Codex?
Seed 2.0 Lite is the better all-round choice, scoring 73/100 against GPT-5-Codex (42) and Command A Translate (17). It leads on price and inputs & features. GPT-5-Codex wins on 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, Command A Translate, Seed 2.0 Lite or GPT-5-Codex?
Seed 2.0 Lite is cheaper at $0.089 input / $0.534 output per million tokens (official Volcengine Ark API price). GPT-5-Codex costs $1.25 input / $10.00 output per million tokens (median across 3 API providers); Command A Translate costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Seed 2.0 Lite versus $3.44 for GPT-5-Codex (17× as much) and $4.38 for Command A Translate (22× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A Translate has not been scored yet, Seed 2.0 Lite has not been scored yet and GPT-5-Codex has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Translate, Seed 2.0 Lite and GPT-5-Codex 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?
GPT-5-Codex has the largest context window at 400,000 tokens, against 256,000 for Seed 2.0 Lite and 8,000 for Command A Translate. Maximum output per response: Command A Translate up to 8,000, Seed 2.0 Lite up to 32,000, GPT-5-Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Command A Translate accepts text; Seed 2.0 Lite accepts text, images and video; GPT-5-Codex accepts text and images. Seed 2.0 Lite handles the widest range of inputs.
Are any of these open source?
Command A Translate publishes its weights and can be self-hosted; Seed 2.0 Lite and GPT-5-Codex is proprietary.
Which is newer?
Seed 2.0 Lite is the newest, released Feb 14, 2026. GPT-5-Codex came out Sep 15, 2025; Command A Translate came out Aug 28, 2025. Knowledge cutoff: Command A Translate Jun 1, 2024, GPT-5-Codex Sep 30, 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 Oct 4, 2026.
