Claude Haiku 3.5 vs Gemini 2.0 Flash-Lite vs Mistral Large 2.1
Gemini 2.0 Flash-Lite comes out ahead, 82 to 44 and 25 on our weighted score, and it is the cheaper option too.
AnthropicClaude Haiku 3.5
44/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
- Our pick
GoogleGemini 2.0 Flash-Lite
82/100- ECI—
- Price$0.064 / $0.255
- Context1.05M
Mistral AIMistral Large 2.1
25/100- ECI128.6
- Price$2.00 / $6.00
- Context131K
Gemini 2.0 Flash-Lite is our pick
Gemini 2.0 Flash-Lite is the better all-round choice, scoring 82/100 against Claude Haiku 3.5 (44) and Mistral Large 2.1 (25). It leads on price, 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 priceGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite $0.111 · Claude Haiku 3.5 $1.60 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
- Longest contextGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite 1,048,576 · Claude Haiku 3.5 200,000 · Mistral Large 2.1 131,072 tokens
- Widest inputsGemini 2.0 Flash-LiteClaude Haiku 3.5: Text, Images, PDFs · Gemini 2.0 Flash-Lite: Text, Images, PDFs, Audio, Video · Mistral Large 2.1: Text
- Self-hostingMistral Large 2.1Publishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Gemini 2.0 Flash-Lite | Mistral Large 2.1 |
|---|---|---|---|---|
| Price | 50% | 38 | 91 | 26 |
| Inputs & features | 30% | 60 | 80 | 25 |
| Context window | 20% | 32 | 61 | 25 |
| Overall | 100% | 44/100 | 82/100 | 25/100 |
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 | Claude Haiku 3.5Anthropic | Gemini 2.0 Flash-LiteGoogle | Mistral Large 2.1Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.0 | — | 128.6 (best) |
| ECI rank | #147 of 165 | — | #142 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 38.1% | — | 51.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | — | 7.8% (best) |
| Price per million tokens | |||
| Input | $0.80 | $0.064 (best) | $2.00 |
| Output | $4.00 | $0.255 (best) | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | $1.60 | $0.111 (best) | $3.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 2 providers | Median of 2 providers |
| Limits | |||
| Context window | 200,000 tokens | 1,048,576 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | — | — |
| API providers | 4 (best) | 3 | 2 |
| Released | Oct 22, 2024 | Dec 11, 2024 | Nov 18, 2024 |
| Knowledge cutoff | Jul 31, 2024 | Jun 2024 | Nov 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Haiku 3.5$16.00
- Gemini 2.0 Flash-Lite$1.15
- Mistral Large 2.1$32.00
Which should you choose?
Which is better: Claude Haiku 3.5, Gemini 2.0 Flash-Lite or Mistral Large 2.1?
Gemini 2.0 Flash-Lite is the better all-round choice, scoring 82/100 against Claude Haiku 3.5 (44) and Mistral Large 2.1 (25). It leads on price, 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, Claude Haiku 3.5, Gemini 2.0 Flash-Lite or Mistral Large 2.1?
Gemini 2.0 Flash-Lite is cheaper at $0.064 input / $0.255 output per million tokens (median across 2 API providers). Claude Haiku 3.5 costs $0.80 input / $4.00 output per million tokens (median across 3 API providers); Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.111 per million tokens for Gemini 2.0 Flash-Lite versus $1.60 for Claude Haiku 3.5 (14× as much) and $3.00 for Mistral Large 2.1 (27× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Claude Haiku 3.5 has an ECI of 127.0, Gemini 2.0 Flash-Lite has not been scored yet and Mistral Large 2.1 has an ECI of 128.6.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3.5, Gemini 2.0 Flash-Lite and Mistral Large 2.1 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?
Gemini 2.0 Flash-Lite has the largest context window at 1,048,576 tokens, against 200,000 for Claude Haiku 3.5 and 131,072 for Mistral Large 2.1. Maximum output per response: Claude Haiku 3.5 up to 8,192, Gemini 2.0 Flash-Lite up to 8,192, Mistral Large 2.1 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Gemini 2.0 Flash-Lite accepts text, images, PDFs, audio and video; Mistral Large 2.1 accepts text. Gemini 2.0 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Mistral Large 2.1 publishes its weights and can be self-hosted; Claude Haiku 3.5 and Gemini 2.0 Flash-Lite is proprietary.
Which is newer?
Gemini 2.0 Flash-Lite is the newest, released Dec 11, 2024. Mistral Large 2.1 came out Nov 18, 2024; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Gemini 2.0 Flash-Lite Jun 2024, Mistral Large 2.1 Nov 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.
